Experienced Software Engineer with a demonstrated history of working in the information technology and services industry. Skilled in ETL , Business Intelligence (BI), Oracle Data Integrator (ODI) , OBIEE , SQL , PLSQL and JAVA. Strong engineering professional with a Bachelor of Engineering (B.E.) focused in Information Technology from B.V.B.C.E.T..
IT Professional with 9 years of Data Warehousing experience in the areas of ETL design and Development.Excellent Experience in Requirement Gathering, Designing, Developing, Documenting, Testing of ETL jobs and mappings in Parallel jobs using Data Stage to populate tables in Data Warehouse and Data marts.
IT Professional with 9 years of Data Warehousing experience in the areas of ETL design and Development.Excellent Experience in Requirement Gathering, Designing, Developing, Documenting, Testing of ETL jobs and mappings in Parallel jobs using Data Stage to populate tables in Data Warehouse and Data marts.
Oracle Certified Professional (OCP) and Tuning expert having 13 yr’s experience on medium to large-scale global project in Media and intertainment, Finance, Telecom and Insurance domain.
Data Centers - Striving Within A Narrow Range - Research Report - MCG - May 2...pchutichetpong
M Capital Group (“MCG”) expects to see demand and the changing evolution of supply, facilitated through institutional investment rotation out of offices and into work from home (“WFH”), while the ever-expanding need for data storage as global internet usage expands, with experts predicting 5.3 billion users by 2023. These market factors will be underpinned by technological changes, such as progressing cloud services and edge sites, allowing the industry to see strong expected annual growth of 13% over the next 4 years.
Whilst competitive headwinds remain, represented through the recent second bankruptcy filing of Sungard, which blames “COVID-19 and other macroeconomic trends including delayed customer spending decisions, insourcing and reductions in IT spending, energy inflation and reduction in demand for certain services”, the industry has seen key adjustments, where MCG believes that engineering cost management and technological innovation will be paramount to success.
MCG reports that the more favorable market conditions expected over the next few years, helped by the winding down of pandemic restrictions and a hybrid working environment will be driving market momentum forward. The continuous injection of capital by alternative investment firms, as well as the growing infrastructural investment from cloud service providers and social media companies, whose revenues are expected to grow over 3.6x larger by value in 2026, will likely help propel center provision and innovation. These factors paint a promising picture for the industry players that offset rising input costs and adapt to new technologies.
According to M Capital Group: “Specifically, the long-term cost-saving opportunities available from the rise of remote managing will likely aid value growth for the industry. Through margin optimization and further availability of capital for reinvestment, strong players will maintain their competitive foothold, while weaker players exit the market to balance supply and demand.”
Opendatabay - Open Data Marketplace.pptxOpendatabay
Opendatabay.com unlocks the power of data for everyone. Open Data Marketplace fosters a collaborative hub for data enthusiasts to explore, share, and contribute to a vast collection of datasets.
First ever open hub for data enthusiasts to collaborate and innovate. A platform to explore, share, and contribute to a vast collection of datasets. Through robust quality control and innovative technologies like blockchain verification, opendatabay ensures the authenticity and reliability of datasets, empowering users to make data-driven decisions with confidence. Leverage cutting-edge AI technologies to enhance the data exploration, analysis, and discovery experience.
From intelligent search and recommendations to automated data productisation and quotation, Opendatabay AI-driven features streamline the data workflow. Finding the data you need shouldn't be a complex. Opendatabay simplifies the data acquisition process with an intuitive interface and robust search tools. Effortlessly explore, discover, and access the data you need, allowing you to focus on extracting valuable insights. Opendatabay breaks new ground with a dedicated, AI-generated, synthetic datasets.
Leverage these privacy-preserving datasets for training and testing AI models without compromising sensitive information. Opendatabay prioritizes transparency by providing detailed metadata, provenance information, and usage guidelines for each dataset, ensuring users have a comprehensive understanding of the data they're working with. By leveraging a powerful combination of distributed ledger technology and rigorous third-party audits Opendatabay ensures the authenticity and reliability of every dataset. Security is at the core of Opendatabay. Marketplace implements stringent security measures, including encryption, access controls, and regular vulnerability assessments, to safeguard your data and protect your privacy.
Levelwise PageRank with Loop-Based Dead End Handling Strategy : SHORT REPORT ...Subhajit Sahu
Abstract — Levelwise PageRank is an alternative method of PageRank computation which decomposes the input graph into a directed acyclic block-graph of strongly connected components, and processes them in topological order, one level at a time. This enables calculation for ranks in a distributed fashion without per-iteration communication, unlike the standard method where all vertices are processed in each iteration. It however comes with a precondition of the absence of dead ends in the input graph. Here, the native non-distributed performance of Levelwise PageRank was compared against Monolithic PageRank on a CPU as well as a GPU. To ensure a fair comparison, Monolithic PageRank was also performed on a graph where vertices were split by components. Results indicate that Levelwise PageRank is about as fast as Monolithic PageRank on the CPU, but quite a bit slower on the GPU. Slowdown on the GPU is likely caused by a large submission of small workloads, and expected to be non-issue when the computation is performed on massive graphs.
Machine learning and optimization techniques for electrical drives.pptx
Rajiv Ranjan ODI_Developer
1. Rajiv Ranjan Email: rjv.agrwal@gmail.com
ODI Developer Mobile: +91-7411238567
Professional Summary:
Having2 Yearsof ExperienceinDevelopment,EnhancementandImplementationsupportof Business
applications in ODI.
Hands on experience with Data Extraction, Transformation and Data Loading in Data Warehouse
environment
Worked in different phases of SDLC to satisfy the requirements of one or more user areas.
Knowledge on Data Warehousing concepts like Star Schema, Snowflake schema, Dimensions tables
and Fact tables.
Worked closely withclient management to identifyand specify complex business requirements and
processes.
Having Knowledge on Performance Tuning.
Having experience in using Knowledge Modules like LKM, IKM, CKMand JKM
Implemented Slowly Changing Dimensions in ODI.
Knowledge of load plans which includes parallel and serial jobs in execution environment.
Scheduling ETL jobs for scenarios and load plans in execution environment.
Have basic knowledge on Informatica Powercenter 9.6.
Hands on experience on OBIEE.
Self-reliant and Proactive to identify and understand business problems and develop solutions.
Excellent Analytical, Problem Solving and debugging skill with excellent understanding of system
development.
Self-Motivated, Determinant and reliable personality with never give up attitude.
Professional Experience:
Working as Software Engineer for KPIT Technologies, Pune from August-2015 to Till Date.
Academic Profile:
Graduated B.E. in Information Science in 2015 from B.V.B.C.E.T. Hubli, KARNATAKA with 76%.
Passed out HSC in 2011 from M.G.M.H.S.School Bokaro, JHARKHAND with 69.6%.
Passed out SSC in 2009 from M.G.M.H.S.School Bokaro, JHARKHAND with 85%.
Technical Skills:
Languages & Technologies : ELT/ETL, SQL, PL/SQL, JAVA
Software, Tools & Platform : ODI 11g and ODI 12c, OBIEE, SQL Developer
Operating System : Windows and UNIX/LINUX Families
Reporting Tools : OBIEE Reporting Tool, Text Report, Excel Report
RDBMS : Oracle 11g/12c , MySQL
Others : TIDAL Web Scheduling Tool, Service Now Ticketing Tool
2. Work Experience:
Project # 2 Praxair Global Procurement BI Migration February-2017 to Till Date
Project Name : Praxair Global Procurement BI Migration
Client : Praxair Inc.
Role : ODI Developer
Team Size : 5 Members
Environment : Oracle 11g, ODI 11g, OBIEE 11g
Description:
PraxairInc.,isa worldwideindustrialgascompany.The companyprovidesgasandliquidgas
to various manufacturing companies such as steel,aluminum and others, theyalso provide oxygen and
othergases to healthcare companies. PraxairisusingJDE, SAPand flatfiles acrossworld and on top of it
reporting layer will be buildusing data model. The scope will be implemented use as ODI as an ETL tool
for data modeling OBIEE as reporting tool.
Different Modules Involved in the Project:
Requirement Analysis: Analysis of the requirements enlisted in the requirement document.
Preparing Detailed Design Document: After analyzing the input low level and high level design
document were prepared. The flow and sequence were provided in the same document.
Code Development: Developing the code as per the design document prepared.
Unit Testing: Unit testing the code to check the functionalityand worked on the anomalies while
testing the code.
Migration: Was involved in migrating the code across several environmentsand performed sanity
check on the code migrated
Change Requests: Worked on the problem request and change requests that we got in the project
and implementing the changes in the current code as per user inputs and requirements.
Responsibilities:
Based on the requirement specification, the physical and logical architecture was designed in the
topology of the ODI studio. The context was configured according to the requirements.
Worked with multiple sources such as Relational database, Flat files for Extraction Transforming and
loading data into target tables.
Reverse Engineered the Data Stores in various Models.
Createdinterfaces,packages,variables,sequences,userfunctions,scenariosand procedures in ODI.
Working knowledge of Knowledge Modules (LKM, IKM, JKMand CKM).
Implemented SCD type1 and SCD type2.
Managing the data loads involved in the integration process.
Debugging the master jobsand packages by using operator navigator, monitoring the execution logs
in operator.
3. Project # 1 Data Integration and Support for PRAXAIR January-2016 to February -2017
Project Name : Data Integration and Support for PRAXAIR
Client : Praxair Inc., USA
Role : ODI Consultant
Team Size : 3 Members
Environment : Oracle 11g, ODI 11g,
Description:
PraxairInc.,isa worldwideindustrialgascompany.The companyprovidesgasandliquidgas
to various manufacturing companies such as steel,aluminum and others, theyalso provide oxygen and
other gases to healthcare companies. This Data IntegrationProject wherein the data was being fetched
fromheterogeneoussourcessuchasFlatfiles,SQLserver,JDEto target DWH database.Data inDWH are
then used for reporting via OBIEE reporting tool.
Different Modules Involved in the Project:
Analyzing the inputs: The specification document were properly analyzed.
Preparing Detailed Design Document: After analyzing the input low level and high level design
document were prepared. The flow and sequence were provided in the same document.
Code Development: Developing the code as per the design document prepared.
Unit Testing: Unit testing the code to check the functionalityand worked on the anomalies while
testing the code.
Migration: Was involved in migrating the code across several environmentsand performed sanity
check on the code migrated
Change Requests: Worked on the problem request and change requests that we got in the project
and implementing the changes in the current code as per user inputs and requirements.
Processes and Tools used:
In depth knowledge of SDLC process defined by KPIT Tech.
Complete understanding of Development and Environment Tool.
Adept knowledge of integration tool Oracle Data Integrator (ODI) used in the project.
Good understandingof the requirementsandgoodco-ordination & communication with the users.
Knowledge on full end to end data load process in the integration process.
Responsibilities: As a Consultant, responsible for the following:
Workedon ProblemRequestsandChange Requests.Studythe SystemDesignDocuments(SDR) and
implementing the changes in the current software, involves analysis & modifications in current
software and design document (SDR).
Proactively worked on interface issues and analysis required.
Played key role in analysis of business requirements, documentation.
Manage the full end to end data load in the integration process.
Identification of functional and nonfunctional requirement and based on the identification creation
of technical document like impact analysis document, query understanding document etc.
Analysis, Coding, Integration and testing code which involves new feature introduction, as well as
current feature support.
Prepared unit test cases for developed code and perform the unit testing before release.
Modifications to existing functions initiated by Problem Report/Change Request.
4. Identifying requirement issues & base code issues. Discussed the same with function lead and
suggestedsolutions.Thishas generatedhighrecognitionfromcustomerforidentifying,justifyingand
probable solution for issues.
Creation of delivery report and release note.
Analysis of customer reported issues and root cause analysis for such defects.
Monitoring of internal/External defects and lead discussion on such issues & preventive actions in
weekly team meeting.
Implemented dynamic change requests and delivering as requested by customer.
Resolved various environment issues those occurred related to connectivity and network.
Worked with the technical lead to resolve the issues & discrepancies and providing appropriate
suggestions & inputs which also includes Technical discussion with other team member.
Trainings:
6 Monthsof traininginbasicsof SQL ,Software Engineering, PL/SQL,UNIXandJAVA (Core and
Advanced)
Basic knowledgeof JDE,OBIEE , INFORMATICA POWERCENTER
Personal Details:
Personal Details
Name Rajiv Ranjan
Date of Birth May 5, 1993
Nationality Indian
Gender Male
Languages Hindi, English.
Passport No. N2271149
Correspondence Address #505, B Wing, Swaraj Pride, Malawadi,
Punawale, Near Lotus Business School, Pune,
Maharashtra.
Pin Code : 411033
Declaration:
I herebydeclare thatall the above furnishedinformationistrue tothe bestof my knowledgeandbelief.
Place:Pune
Date: 21-Aug-2017 (Rajiv Ranjan)