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Ramabrahmachary Sattenapalli
Tech Lead
98 85 58 57 23
Cyient LimitedCyient Limited
I have about seventeen (15+) years of GIS experience comprising of:
• About one (1) year in data modeling, testing of GIS-related applications, and data migration
• About four (4) years in Car navigation(TeleAtlas)
• About ten (10+) years in GIS data services
As part of data services-related stint, I have worked on large-scale digital mapping projects covering data
cleanup, data conversion, data migration, data conflation, and data maintenance activities for major clients
in USA, Europe, and APAC regions.
Representative Experience Summary:
R-APDRP (Restructured Accelerated Power Reforms Development Program) for RECPDCL (Rural
Electric Power Distribution Corporation Limited), Goa (India) thru’ TPDDL (Tata Power Delhi
Distribution Limited (India): The objectives of the project were:
• Development of a tool to migrate the ESRI data into the target Smallworld EO 4.3.4
• Data migration using the migration tool, error fixing, and post-migration check for graphical
connectivity by running trace functionality available in Smallworld
• Software customization activity comprising of requirement study with TPDDL and RECPDCL
technical team at Goa, customization of Smallworld EO data model, configuration and customization
of Smallworld EO and EO Web, testing, deployment and rollout, and end user and administration
training
• Integration of Smallworld EO with SAP ECC 6.0 for PM (Project Management), AM (Asset
Management), ISU (Industry-Specific Solution for Utilities), and MDUS (Meter Data, Unification,
and Synchronization) modules and with MI Power Network Analysis
I was responsible for:
• Analysis of ESRI data and tool development for migration of this data into Smallworld EO 4.3.4
• Data migration using the migration tool, error fixing, and post-migration check for graphical
connectivity by running trace functionality available in Smallworld
• Bug fixing relating to trace back errors and error messages
• Client communication for conflict resolution and technical guidance to team members
We Energies, USA: We Energies, considered to be one of the premier energy companies in USA, serves a
million each of electric and gas customers in Wisconsin. We Energies were finding that:
• Existing electric GIS data was not compatible to run the feeder manager application, which is
essential for their operational purposes
• Electrical assets were not mapped at accurate spatial locations as required by the statutory regulations
• GIS system was not suitable for integration with their other non-spatial enterprise systems
To meet these challenges, Cyient worked on:
• Consultancy to assess the maturity of the prevailing GIS data and integrability with their OMS
(outage management system) system
• Development of a three-step solution based on the maturity assessment comprising of positional
improvement of assets to spatially accurate locations using TruShift (an in-house tool of Cyient),
purification of GIS electric network features using automated tools, and setup and configuration of
feeder manager
Ramabrahmachary Sattenapalli
I led a team of about 20 engineers and was overall responsible for the data conflation of electric network
features as per the project specs and checklists and for verification of the output as per the checklists
provided.
TBDU (Transmission Business Development Unit) of SCE (Southern California Edison), USA: SCE
is one of the largest electric utilities in the United States. As part of their Smart Grid initiative, SCE were
looking for a single reliable system which provides all asset information along with network connectivity,
spatial attributes and real-time circuit status. Cyient provided the following services to achieve the
interoperability between GE Smallworld, AutoCAD, and ESRI using Oracle Spatial as the central data
repository.
• Data Assessment: Conduct a detailed assessment of the ‘as is’ state of the existing GIS and data
processes
• DCC (data consolidation and conflation): Base data management services including COTS (Bakers)
land base delivery, DLM (data lifecycle management) which provides for data movement within
SCE, and delivery of conflation and DAT software tools
• DAT (data acceptance testing), performed in conjunction with SCE, which ensures the validity of the
data to address SCE’s business needs
I led a team of about 25 engineers and was overall responsible for the data conversion as per the project
specs and checklists and for verification of the output as per the checklists provided.
E.ON, Germany: E.ON is considered to be one of the largest power and gas companies in Germany.
E.ON had implemented G/Technology based G!NIUS GIS system of Intergraph for managing their
network assets. E.ON had captured only part of their network information using this system and was
looking to capture the major part of their electric network data. The volumes involved were 75,000 km
cable lines, 19,000 km overhead lines, 22,000 stations, 90,000 cable distributors, and 660,000 house
connections.
I led a team of about 30 engineers and was overall responsible for the data conversion as per the project
specs and checklists and for verification of the output as per the checklists provided.
Duke Energy, USA: Duke Energy is considered to be one of the largest electrical companies in USA.
Duke was looking to conflate their Midwest landbase, gas, and electric network data to the target landbase
(Tele Atlas, or County – as the case maybe). Cyient was required to perform edge matching between each
county to create a seamless landbase and thereafter, migrate this seamless landbase data to their
Smallworld 4.1 SWAF model. The inputs to be considered were Smallworld data (gas, electric, and
landbase data), landbase data (Tele Atlas and County data), and project specs. The technologies used were
AutoCAD and GE Smallworld.
I was responsible for the quality assurance related to the data conflation of the electrical network features.
RLR (Rural Land Registry) Data Refresh for RPA (PAI) Offshore: RPA (Rural Payment Agency) is
an Executive Agency of the Department for Environment, Food and Rural Affairs with their offices all
over UK. RPA had embarked on the rural land registry (RLR) program in ‘02 to have a GIS system by
Jan’05. As part of this, about 2.2 million land parcel boundaries were repositioned against Ordnance
Survey (OS) post-PAI MasterMap data. These parcels were captured against the Nov’01 version of OS
MasterMap. This version was being revised for real world change (RWC) as part of the Positional
Accuracy Improvement (PAI) program of OS. So, RPA wanted to have the latest version of MasterMap to
be as up-to-date as possible with the ground data and was looking to realign their land parcel boundaries.
The technologies used were MapRite, Oracle, ArcSDE, and ArcGIS.
Apart from leading a team of about twenty (20) engineers and being responsible for deliveries and
quality, I worked on data update of the agricultural parcels and crop patterns as per the project specs and
checklists and output verification as per the checklists provided.
2
Ramabrahmachary Sattenapalli
RLR Data Maintenance for RPA (Onsite): RPA (Rural Payment Agency) is an Executive Agency of the
Department for Environment, Food and Rural Affairs with their offices all over UK. The scope of the
project was to primarily undertake edits to the spatial data (as per the RPA business rules), thus, ensuring
that all the fields (polygons) affected were logged for reporting back to RPA. It was required that the
building topology was maintained, new line features were snapped to the existing data (the PBL layer) and
MasterMap™ wherever possible, and metadata was maintained. Also, all the polygons were to be closed
within the permissible tolerance levels and do not overlap. The technologies used were Oracle and RITA
(GIS tool kit of RPA).
I worked onsite at Reading (UK) office of RPA. I was responsible for data update of the agricultural
parcels and crop patterns as per the project specs and checklists and output verification as per the
checklists provided.
I was responsible for the quality assurance in Remote Sensing project for data update of the agricultural
parcels and crop patterns as per the project specs of RSAC
Tele Atlas (TomTom), USA: Tele Atlas is a wholly-owned subsidiary of TomTom, a leading automotive
navigation system manufacturer. Tele Atlas is considered to be a global leader in the field of digital
mapping. Prior to this project, Cyient was assisting Tele Atlas in the creation of the datasets involving
street mapping for the various cities of US to be sold as CD ROMs for in-car navigation. These were
updated continuously using the aerial photographs and ortho rectified images received from the customer.
This project involved capture of missing streets, modification of address information, and capture and
correction of street names using TA Mapper software. This was to be done with the help of TIGER
database to obtain high-match geocode rating. The technologies used were TA Mapper, TIGER database,
and USPS database
I was responsible for data update of the street network features as per the project specs and checklists and
output verification as per the checklists provided.
Data Migration for AEP (American Electric Power), USA: AEP is considered to be one of the largest
electric utilities in the United States. The objective of the project was to migrate 1.5 million electrical
features. This was an AM/FM (automated mapping / facilities management) electrical project that was
executed on the customized Gnome software and FRAMME, and subsequently the data was to be ported
onto GE Smallworld. The technologies used were Gnome, FRAMME, and GE Smallworld.
I was responsible for data conversion of electric network features as per the project specs and checklists
and output verification as per the checklists provided.
PSEG (Public Service Electric and Gas), USA: PSEG is one of the largest combined electric and gas
companies in the US and is also New Jersey’s oldest and largest publicly owned utility. The objective of
the project was to digitize electric utility network from PSEG source maps for a volume of about 800,000
structures. Various types of documents and databases were required to be used as source materials for
capturing the PSEG electric facility network. The software used was MicroStation.
I was responsible for data conversion of electric network features as per the project specs and checklists
and output verification as per the checklists provided.
Severn Trent Water, UK: Severn Trent Water is considered to be one of largest water distribution
companies in the world. The main objective of this project was to capture water network data of
approximately 33000 miles for various districts of UK viz. Birmingham, Wolver Hampton, Tettenhall,
Shelton, and Stoke in MicroStation 95 format and thereafter translate it into GE Smallworld. This project
involved conversion of two million features of water distribution network. The software used was
MicroStation.
3
Ramabrahmachary Sattenapalli
I was responsible for data conversion of water network features as per the project specs and checklists and
output verification as per the checklists provided.
East Ohio Gas, USA: East Ohio Gas Company serves about 400 cities and towns in Eastern and Western
Ohio. The objective of the project was to convert the data related to about 930,000 customers from
orthophotos. The data related to road rows and address range data was required to be captured from
orthophotos and parcel data. The technologies used were Gnome (customized) and GE Smallworld. He
was responsible for data conversion of land base features as per the project specs and checklists and for
output validation as per the checklists provided
I was responsible for the quality assurance of Gas network features as per the project specs.
Ebit, Germany: Ebit GmbH is a major data conversion company in Germany. This project was done for a
Germany-based end client who operates a major cable networking system that connects its sources of
supply, storage fields, and retail markets. The project requirement was for digitization of topographic
maps. This included capturing various features viz. streets & parcels, border stones, bank lines, buildings,
roofs, and annotations (related to motor ways, federal railways, state roads, and district roads). The
objective was to develop a standard and comprehensive landbase for AM/FM (automated mapping and
facility management) system. The software used was MicroStation.
I was responsible for data conversion of landbase features as per the project specs and checklists and
output verification as per the checklists provided.
Experience summary includes:
Expertise: Data modeling, Data cleanup, Data conversion, Data migration
Data conflation and Data maintenance
Domains: Telecom, power, water, gas, land and local government
Market Experience: USA, Europe, and Asia Pacific regions
Major Clients Interfaced: RECPDCL (India), We Energies (USA), SCE (USA), E.ON (Germany),
Duke Energy (USA), RPA (UK), TomTom (USA), AEP (USA), PSEG
(USA), Severn Trent Water (UK), East Ohio Gas (USA), and Ebit
(Germany)
Skills Profile:
Operating systems: MS DOS and Windows family
Databases: Oracle 11g
Testing tools: QTP
GIS: AutoCAD, ArcGIS10.2,GTechnology, MicroStation, and Smallworld 4.3
Education:
• Diploma in Mechanical Engineering awarded by State Board of Technical Education and Training,
Government of Andhra Pradesh in 1995
• AMIME (Mechanical Engineering) from Institution of Mechanical Engineers, Mumbai in 2005
•
Awards and achievements:
• “Associate of the Month” in Nov’ 02, Apr’ 04, May’ 06, Oct’ 09, Oct’ 10, and Nov’ 15 for
outstanding work on TomTom (three times), RPA, RPA (second time), and APDRP Goa projects
respectively
4
Ramabrahmachary Sattenapalli
• “Team of the Month” in Jan’ 13 and May’ 15 for outstanding work on E.ON and SCE projects
respectively
Countries worked in:
UK and India
5
Ramabrahmachary Sattenapalli
• “Team of the Month” in Jan’ 13 and May’ 15 for outstanding work on E.ON and SCE projects
respectively
Countries worked in:
UK and India
5

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GIS Data Expertise

  • 1. Ramabrahmachary Sattenapalli Tech Lead 98 85 58 57 23 Cyient LimitedCyient Limited I have about seventeen (15+) years of GIS experience comprising of: • About one (1) year in data modeling, testing of GIS-related applications, and data migration • About four (4) years in Car navigation(TeleAtlas) • About ten (10+) years in GIS data services As part of data services-related stint, I have worked on large-scale digital mapping projects covering data cleanup, data conversion, data migration, data conflation, and data maintenance activities for major clients in USA, Europe, and APAC regions. Representative Experience Summary: R-APDRP (Restructured Accelerated Power Reforms Development Program) for RECPDCL (Rural Electric Power Distribution Corporation Limited), Goa (India) thru’ TPDDL (Tata Power Delhi Distribution Limited (India): The objectives of the project were: • Development of a tool to migrate the ESRI data into the target Smallworld EO 4.3.4 • Data migration using the migration tool, error fixing, and post-migration check for graphical connectivity by running trace functionality available in Smallworld • Software customization activity comprising of requirement study with TPDDL and RECPDCL technical team at Goa, customization of Smallworld EO data model, configuration and customization of Smallworld EO and EO Web, testing, deployment and rollout, and end user and administration training • Integration of Smallworld EO with SAP ECC 6.0 for PM (Project Management), AM (Asset Management), ISU (Industry-Specific Solution for Utilities), and MDUS (Meter Data, Unification, and Synchronization) modules and with MI Power Network Analysis I was responsible for: • Analysis of ESRI data and tool development for migration of this data into Smallworld EO 4.3.4 • Data migration using the migration tool, error fixing, and post-migration check for graphical connectivity by running trace functionality available in Smallworld • Bug fixing relating to trace back errors and error messages • Client communication for conflict resolution and technical guidance to team members We Energies, USA: We Energies, considered to be one of the premier energy companies in USA, serves a million each of electric and gas customers in Wisconsin. We Energies were finding that: • Existing electric GIS data was not compatible to run the feeder manager application, which is essential for their operational purposes • Electrical assets were not mapped at accurate spatial locations as required by the statutory regulations • GIS system was not suitable for integration with their other non-spatial enterprise systems To meet these challenges, Cyient worked on: • Consultancy to assess the maturity of the prevailing GIS data and integrability with their OMS (outage management system) system • Development of a three-step solution based on the maturity assessment comprising of positional improvement of assets to spatially accurate locations using TruShift (an in-house tool of Cyient), purification of GIS electric network features using automated tools, and setup and configuration of feeder manager
  • 2. Ramabrahmachary Sattenapalli I led a team of about 20 engineers and was overall responsible for the data conflation of electric network features as per the project specs and checklists and for verification of the output as per the checklists provided. TBDU (Transmission Business Development Unit) of SCE (Southern California Edison), USA: SCE is one of the largest electric utilities in the United States. As part of their Smart Grid initiative, SCE were looking for a single reliable system which provides all asset information along with network connectivity, spatial attributes and real-time circuit status. Cyient provided the following services to achieve the interoperability between GE Smallworld, AutoCAD, and ESRI using Oracle Spatial as the central data repository. • Data Assessment: Conduct a detailed assessment of the ‘as is’ state of the existing GIS and data processes • DCC (data consolidation and conflation): Base data management services including COTS (Bakers) land base delivery, DLM (data lifecycle management) which provides for data movement within SCE, and delivery of conflation and DAT software tools • DAT (data acceptance testing), performed in conjunction with SCE, which ensures the validity of the data to address SCE’s business needs I led a team of about 25 engineers and was overall responsible for the data conversion as per the project specs and checklists and for verification of the output as per the checklists provided. E.ON, Germany: E.ON is considered to be one of the largest power and gas companies in Germany. E.ON had implemented G/Technology based G!NIUS GIS system of Intergraph for managing their network assets. E.ON had captured only part of their network information using this system and was looking to capture the major part of their electric network data. The volumes involved were 75,000 km cable lines, 19,000 km overhead lines, 22,000 stations, 90,000 cable distributors, and 660,000 house connections. I led a team of about 30 engineers and was overall responsible for the data conversion as per the project specs and checklists and for verification of the output as per the checklists provided. Duke Energy, USA: Duke Energy is considered to be one of the largest electrical companies in USA. Duke was looking to conflate their Midwest landbase, gas, and electric network data to the target landbase (Tele Atlas, or County – as the case maybe). Cyient was required to perform edge matching between each county to create a seamless landbase and thereafter, migrate this seamless landbase data to their Smallworld 4.1 SWAF model. The inputs to be considered were Smallworld data (gas, electric, and landbase data), landbase data (Tele Atlas and County data), and project specs. The technologies used were AutoCAD and GE Smallworld. I was responsible for the quality assurance related to the data conflation of the electrical network features. RLR (Rural Land Registry) Data Refresh for RPA (PAI) Offshore: RPA (Rural Payment Agency) is an Executive Agency of the Department for Environment, Food and Rural Affairs with their offices all over UK. RPA had embarked on the rural land registry (RLR) program in ‘02 to have a GIS system by Jan’05. As part of this, about 2.2 million land parcel boundaries were repositioned against Ordnance Survey (OS) post-PAI MasterMap data. These parcels were captured against the Nov’01 version of OS MasterMap. This version was being revised for real world change (RWC) as part of the Positional Accuracy Improvement (PAI) program of OS. So, RPA wanted to have the latest version of MasterMap to be as up-to-date as possible with the ground data and was looking to realign their land parcel boundaries. The technologies used were MapRite, Oracle, ArcSDE, and ArcGIS. Apart from leading a team of about twenty (20) engineers and being responsible for deliveries and quality, I worked on data update of the agricultural parcels and crop patterns as per the project specs and checklists and output verification as per the checklists provided. 2
  • 3. Ramabrahmachary Sattenapalli RLR Data Maintenance for RPA (Onsite): RPA (Rural Payment Agency) is an Executive Agency of the Department for Environment, Food and Rural Affairs with their offices all over UK. The scope of the project was to primarily undertake edits to the spatial data (as per the RPA business rules), thus, ensuring that all the fields (polygons) affected were logged for reporting back to RPA. It was required that the building topology was maintained, new line features were snapped to the existing data (the PBL layer) and MasterMap™ wherever possible, and metadata was maintained. Also, all the polygons were to be closed within the permissible tolerance levels and do not overlap. The technologies used were Oracle and RITA (GIS tool kit of RPA). I worked onsite at Reading (UK) office of RPA. I was responsible for data update of the agricultural parcels and crop patterns as per the project specs and checklists and output verification as per the checklists provided. I was responsible for the quality assurance in Remote Sensing project for data update of the agricultural parcels and crop patterns as per the project specs of RSAC Tele Atlas (TomTom), USA: Tele Atlas is a wholly-owned subsidiary of TomTom, a leading automotive navigation system manufacturer. Tele Atlas is considered to be a global leader in the field of digital mapping. Prior to this project, Cyient was assisting Tele Atlas in the creation of the datasets involving street mapping for the various cities of US to be sold as CD ROMs for in-car navigation. These were updated continuously using the aerial photographs and ortho rectified images received from the customer. This project involved capture of missing streets, modification of address information, and capture and correction of street names using TA Mapper software. This was to be done with the help of TIGER database to obtain high-match geocode rating. The technologies used were TA Mapper, TIGER database, and USPS database I was responsible for data update of the street network features as per the project specs and checklists and output verification as per the checklists provided. Data Migration for AEP (American Electric Power), USA: AEP is considered to be one of the largest electric utilities in the United States. The objective of the project was to migrate 1.5 million electrical features. This was an AM/FM (automated mapping / facilities management) electrical project that was executed on the customized Gnome software and FRAMME, and subsequently the data was to be ported onto GE Smallworld. The technologies used were Gnome, FRAMME, and GE Smallworld. I was responsible for data conversion of electric network features as per the project specs and checklists and output verification as per the checklists provided. PSEG (Public Service Electric and Gas), USA: PSEG is one of the largest combined electric and gas companies in the US and is also New Jersey’s oldest and largest publicly owned utility. The objective of the project was to digitize electric utility network from PSEG source maps for a volume of about 800,000 structures. Various types of documents and databases were required to be used as source materials for capturing the PSEG electric facility network. The software used was MicroStation. I was responsible for data conversion of electric network features as per the project specs and checklists and output verification as per the checklists provided. Severn Trent Water, UK: Severn Trent Water is considered to be one of largest water distribution companies in the world. The main objective of this project was to capture water network data of approximately 33000 miles for various districts of UK viz. Birmingham, Wolver Hampton, Tettenhall, Shelton, and Stoke in MicroStation 95 format and thereafter translate it into GE Smallworld. This project involved conversion of two million features of water distribution network. The software used was MicroStation. 3
  • 4. Ramabrahmachary Sattenapalli I was responsible for data conversion of water network features as per the project specs and checklists and output verification as per the checklists provided. East Ohio Gas, USA: East Ohio Gas Company serves about 400 cities and towns in Eastern and Western Ohio. The objective of the project was to convert the data related to about 930,000 customers from orthophotos. The data related to road rows and address range data was required to be captured from orthophotos and parcel data. The technologies used were Gnome (customized) and GE Smallworld. He was responsible for data conversion of land base features as per the project specs and checklists and for output validation as per the checklists provided I was responsible for the quality assurance of Gas network features as per the project specs. Ebit, Germany: Ebit GmbH is a major data conversion company in Germany. This project was done for a Germany-based end client who operates a major cable networking system that connects its sources of supply, storage fields, and retail markets. The project requirement was for digitization of topographic maps. This included capturing various features viz. streets & parcels, border stones, bank lines, buildings, roofs, and annotations (related to motor ways, federal railways, state roads, and district roads). The objective was to develop a standard and comprehensive landbase for AM/FM (automated mapping and facility management) system. The software used was MicroStation. I was responsible for data conversion of landbase features as per the project specs and checklists and output verification as per the checklists provided. Experience summary includes: Expertise: Data modeling, Data cleanup, Data conversion, Data migration Data conflation and Data maintenance Domains: Telecom, power, water, gas, land and local government Market Experience: USA, Europe, and Asia Pacific regions Major Clients Interfaced: RECPDCL (India), We Energies (USA), SCE (USA), E.ON (Germany), Duke Energy (USA), RPA (UK), TomTom (USA), AEP (USA), PSEG (USA), Severn Trent Water (UK), East Ohio Gas (USA), and Ebit (Germany) Skills Profile: Operating systems: MS DOS and Windows family Databases: Oracle 11g Testing tools: QTP GIS: AutoCAD, ArcGIS10.2,GTechnology, MicroStation, and Smallworld 4.3 Education: • Diploma in Mechanical Engineering awarded by State Board of Technical Education and Training, Government of Andhra Pradesh in 1995 • AMIME (Mechanical Engineering) from Institution of Mechanical Engineers, Mumbai in 2005 • Awards and achievements: • “Associate of the Month” in Nov’ 02, Apr’ 04, May’ 06, Oct’ 09, Oct’ 10, and Nov’ 15 for outstanding work on TomTom (three times), RPA, RPA (second time), and APDRP Goa projects respectively 4
  • 5. Ramabrahmachary Sattenapalli • “Team of the Month” in Jan’ 13 and May’ 15 for outstanding work on E.ON and SCE projects respectively Countries worked in: UK and India 5
  • 6. Ramabrahmachary Sattenapalli • “Team of the Month” in Jan’ 13 and May’ 15 for outstanding work on E.ON and SCE projects respectively Countries worked in: UK and India 5