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Nikhila Marripa+
Business Intelligence and Analy1cs professional with experience in analyzing, developing, tes1ng and debugging high
performing so>ware solu1ons and delivering data driven ac1onable recommenda1ons. Adept in building scalable
data pipelines and business dashboards for cross func1onal projects and communica1ng insights to global
stakeholders.
Experience
BI Engineer 2 │ Tek Systems, Microso6 JUN 2022 –DEC 2023
• Demonstrated advanced analy1cs mastery through me1culous data profiling. Expertly collected raw data,
applied intricate transforma1on rules, and executed precise cleansing processes using SQL, Azure services and
Python, achieving a 25% increase in data freshness and 20% improvement in completeness for op1mized
analy1cal outcomes.
• Implemented end-to-end BI solu1on development of a common data plaNorm for Azure hardware team,
collabora1ng with cross-func1onal teams to gather requirements, designing data models, and implemen1ng
dashboards showcasing performance metrics for effec1ve monitoring saving $120k annually.
• Led the team in designing and Orchestra1ng processes for Cloud engineering and Infrastructure org integra1ng
CI/CD principles through Azure Devops for streamlined processes and accelerated delivery cycles.
• Executed query op1miza1on and accelerated query retrieval by implemen1ng normaliza1on and de-
normaliza1on techniques on exis1ng tables, making strategic use of joins and indexes for enhanced efficiency.
• Led the team by iden1fying key performance indicators (KPIs) and effec1vely managed and monitored Service
Level Agreements (SLAs) and repair items. Showcased crucial metrics, including burndown trends, repair item
counts, dynamic visualiza1ons through drill down and drill through views, resul1ng in a substan1al 20%
enhancement in SLA adherence and a notable 15% reduc1on in escala1ons.
• Engineered and implemented mul1ple solu1ons using PowerApps and Power Automate, aimed at op1mizing
business processes. Automated diverse tasks, including data retrieval and email no1fica1ons based on
predefined criteria, resul1ng in a substan1al 50% reduc1on in manual effort.
• Designed and implemented effec1ve customer analy1cs pipeline u1lizing Azure Synapse to transform,
calculate metrics like customer life1me and load large data sets for further analysis resul1ng in a 50% reduc1on
in processing 1me and increasing data availability by 75%
Technologies: Power BI, Azure SQL, SQL Server, A/B Tes1ng, Hypothesis Tes1ng, Azure synapse analy1cs, DAX, Power
Query, Python, Snowflake, VSTS, PowerApps, Power Automate, Spark, Azure Cosmos
BI Developer/Data Analyst│ Capgemini JUN 2021- JUN 2022
• Design and implement services for large-scale data ecosystems including data management, governance, data
standardiza1on, data quality checks, compliance measures and integra1on of structured and unstructured
data ensuring data integrity.
• Interact with stakeholders to frequently understand their opera1ons, roadmaps to come up with analy1cal
solu1ons to help them meet their needs.
• Built a data quality check process using SQL for valida1ng 170 tables which was able to monitor the data with
100% accuracy
• Implemented automated data analysis and cleansing workflows using Python scripts, pandas, and matplotlib,
resul1ng in a significant improvement in efficiency by 40% through automa1on
marripa'nikhila@gmail.com Sea3le, WA 3109484666
• Designed and developed large-scale data structures and efficient ETL workflows to organize, collect and
standardize medical/pharmacy/membership and claims data addressing requirements related to medical
coding standards, missing claims leading to 10% increase in speed of claims processing
• Leveraged advanced Excel func1ons, including PIVOT tables and V-Lookup, to me1culously clean and analyze
data sourced from ERP Systems, enhancing accuracy and uncovering key trends for comprehensive customer
repor1ng
Technologies: SQL Server, Ab In1o, SQL Server Integra1on Services (SSIS), SSAS, Power BI, Microso> Excel,
Python, PySpark
Junior BI Developer │ HCL America DEC 2018 - MAR 2020
• Microso> Surface Revenue Recogni1on: Collaborate with 4+ cross-func1onal teams and worked end-to-end
by gathering requirements, performing analysis and implemen1ng feed to iden1fy Microso> sales for surface
products and create visually impacNul dashboards using Power BI
• Build end-to-end data pipeline to support business needs following BI development best prac1ces using SSIS
and Azure Data Factory from mul1ple sources such as SQL server, Azure SQL database, Azure Blob storage to
channelize Revenue, Azure consump1on, Customer and Partners data
• Collaborate closely with the client to comprehend their needs and proceed to design and develop a web
applica1on u1lizing PowerApps for automa1ng the sales analysis
• Conduct thorough data analysis using advanced SQL coding to address cri1cal business inquiries and pinpoint
areas for enhancement Employ SQL techniques to enhance Microso> 365 product sales, aiming for a 25%
increase in overall volume
• Office 365 CXP Fashrack: Built a stable user segmenta1on u1lizing Transac1onal session, user behavior metrics
with 85% accuracy via fuzzy c means algorithm.
• Develop interac1ve visualiza1on dashboards using Power BI to analyze customer engagement and define KPIS
across Exchange, SharePoint and skype for Business products, discover paherns and present effec1ve, strategic
and opera1onal insights for the Office 365 Fashrack team
Technologies: Azure SQL, SQL Server, SSIS, Oracle PL/SQL, DAX, Power Query, Python, Power BI, VSTS, PowerApps,
Power Automate, Azure Data Factory, Hadoop
BI ETL Developer │ UST Global, Anthem Inc AUG 2017 - NOV 2018
• Enterprise Data Warehouse Project: Worked on claims and membership processing of customers extrac1ng,
transforming and loading data through Informa1ca to streamline and automate the collec1on of data from
mul1ple source systems spread across into staging area and load into data warehouse.
• Crea1on of database objects like tables, views, procedures and packages using Oracle tools like Toad, PL/SQL
Developer and SQL* plus
• Performance-tuned workflows by me1culously iden1fying bohlenecks in targets, sources, mappings, sessions,
and workflows, resul1ng in a significant improvement in overall processing speed and system efficiency.
• U1lized Sqoop to seamlessly load data from rela1onal databases into Hadoop, ensuring efficient and secure
data transfer
• Part of the Agile/Scrum team and par1cipated in Standup, grooming, planning and retrospec1ve mee1ngs.
• Executed incremental data loading strategies for enterprise databases u1lizing a Change Data Capture (CDC)
approach, op1mizing efficiency and maintaining data integrity.
• Developed source-target mapping document, business rules, cleanse rules and worked on transforma1on
logic for all the interfaces.
Technologies: Informa1ca Power Center, IICS (Informa1ca Cloud), IDQ, Linux, Teradata SQL Assistant, Teradata
BTEQ, MLOAD, MSSQL, UNIX, Hadoop, Sqoop, HDFS
Data Analyst/Developer Intern │ Axalta CoaWng MAY '17 - AUG '17
• Developed Python scripts to extract data from external sources and loaded into MYSQL DB
• Collected, cleansed and performed data analysis of structured and unstructured data
• Collaborated with colleagues and pro-ac1vely par1cipated in team mee1ngs with managers.
Graduate Assistant │ Kent State University
• Assisted in development of web applica1ons app for grading system using REST framework and also developed
client-side logic
• Completed research ac1vi1es that involve data analysis, data collec1on, and data cleaning using SQL server
• U1lized Excel to create Pivot table, charts and graphs for analysis and reports
Environment: Excel, SQL, PowerPoint, MS Word
EducaWon
Kent State University - Masters in digital sciences DEC 2016
Jawaharlal Nehru Technological University (JNTU) - Bachelors in Electronics and communica'ons MAY 2015
Skills
• BI Tools: SSIS, Power BI, Informa1ca, Teradata tools, Azure Data Factory, PowerApps, Logic Apps
• Techniques: ETL, A/B tes1ng, Hypothesis tes1ng, Sta1s1cal Analysis, Data modelling, Data mining
• Programming: T-SQL, Python, Pandas, NumPy, Core Java, C#, HTML, CSS
• Tools/U1li1es: PowerApps, Logic Apps, MS Visio, VSTS, Visual Studio, Azure Devops, Azure SQL,MS Word

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Nikhila Marripati Resume - BI/DataEngineer

  • 1. Nikhila Marripa+ Business Intelligence and Analy1cs professional with experience in analyzing, developing, tes1ng and debugging high performing so>ware solu1ons and delivering data driven ac1onable recommenda1ons. Adept in building scalable data pipelines and business dashboards for cross func1onal projects and communica1ng insights to global stakeholders. Experience BI Engineer 2 │ Tek Systems, Microso6 JUN 2022 –DEC 2023 • Demonstrated advanced analy1cs mastery through me1culous data profiling. Expertly collected raw data, applied intricate transforma1on rules, and executed precise cleansing processes using SQL, Azure services and Python, achieving a 25% increase in data freshness and 20% improvement in completeness for op1mized analy1cal outcomes. • Implemented end-to-end BI solu1on development of a common data plaNorm for Azure hardware team, collabora1ng with cross-func1onal teams to gather requirements, designing data models, and implemen1ng dashboards showcasing performance metrics for effec1ve monitoring saving $120k annually. • Led the team in designing and Orchestra1ng processes for Cloud engineering and Infrastructure org integra1ng CI/CD principles through Azure Devops for streamlined processes and accelerated delivery cycles. • Executed query op1miza1on and accelerated query retrieval by implemen1ng normaliza1on and de- normaliza1on techniques on exis1ng tables, making strategic use of joins and indexes for enhanced efficiency. • Led the team by iden1fying key performance indicators (KPIs) and effec1vely managed and monitored Service Level Agreements (SLAs) and repair items. Showcased crucial metrics, including burndown trends, repair item counts, dynamic visualiza1ons through drill down and drill through views, resul1ng in a substan1al 20% enhancement in SLA adherence and a notable 15% reduc1on in escala1ons. • Engineered and implemented mul1ple solu1ons using PowerApps and Power Automate, aimed at op1mizing business processes. Automated diverse tasks, including data retrieval and email no1fica1ons based on predefined criteria, resul1ng in a substan1al 50% reduc1on in manual effort. • Designed and implemented effec1ve customer analy1cs pipeline u1lizing Azure Synapse to transform, calculate metrics like customer life1me and load large data sets for further analysis resul1ng in a 50% reduc1on in processing 1me and increasing data availability by 75% Technologies: Power BI, Azure SQL, SQL Server, A/B Tes1ng, Hypothesis Tes1ng, Azure synapse analy1cs, DAX, Power Query, Python, Snowflake, VSTS, PowerApps, Power Automate, Spark, Azure Cosmos BI Developer/Data Analyst│ Capgemini JUN 2021- JUN 2022 • Design and implement services for large-scale data ecosystems including data management, governance, data standardiza1on, data quality checks, compliance measures and integra1on of structured and unstructured data ensuring data integrity. • Interact with stakeholders to frequently understand their opera1ons, roadmaps to come up with analy1cal solu1ons to help them meet their needs. • Built a data quality check process using SQL for valida1ng 170 tables which was able to monitor the data with 100% accuracy • Implemented automated data analysis and cleansing workflows using Python scripts, pandas, and matplotlib, resul1ng in a significant improvement in efficiency by 40% through automa1on marripa'nikhila@gmail.com Sea3le, WA 3109484666
  • 2. • Designed and developed large-scale data structures and efficient ETL workflows to organize, collect and standardize medical/pharmacy/membership and claims data addressing requirements related to medical coding standards, missing claims leading to 10% increase in speed of claims processing • Leveraged advanced Excel func1ons, including PIVOT tables and V-Lookup, to me1culously clean and analyze data sourced from ERP Systems, enhancing accuracy and uncovering key trends for comprehensive customer repor1ng Technologies: SQL Server, Ab In1o, SQL Server Integra1on Services (SSIS), SSAS, Power BI, Microso> Excel, Python, PySpark Junior BI Developer │ HCL America DEC 2018 - MAR 2020 • Microso> Surface Revenue Recogni1on: Collaborate with 4+ cross-func1onal teams and worked end-to-end by gathering requirements, performing analysis and implemen1ng feed to iden1fy Microso> sales for surface products and create visually impacNul dashboards using Power BI • Build end-to-end data pipeline to support business needs following BI development best prac1ces using SSIS and Azure Data Factory from mul1ple sources such as SQL server, Azure SQL database, Azure Blob storage to channelize Revenue, Azure consump1on, Customer and Partners data • Collaborate closely with the client to comprehend their needs and proceed to design and develop a web applica1on u1lizing PowerApps for automa1ng the sales analysis • Conduct thorough data analysis using advanced SQL coding to address cri1cal business inquiries and pinpoint areas for enhancement Employ SQL techniques to enhance Microso> 365 product sales, aiming for a 25% increase in overall volume • Office 365 CXP Fashrack: Built a stable user segmenta1on u1lizing Transac1onal session, user behavior metrics with 85% accuracy via fuzzy c means algorithm. • Develop interac1ve visualiza1on dashboards using Power BI to analyze customer engagement and define KPIS across Exchange, SharePoint and skype for Business products, discover paherns and present effec1ve, strategic and opera1onal insights for the Office 365 Fashrack team Technologies: Azure SQL, SQL Server, SSIS, Oracle PL/SQL, DAX, Power Query, Python, Power BI, VSTS, PowerApps, Power Automate, Azure Data Factory, Hadoop BI ETL Developer │ UST Global, Anthem Inc AUG 2017 - NOV 2018 • Enterprise Data Warehouse Project: Worked on claims and membership processing of customers extrac1ng, transforming and loading data through Informa1ca to streamline and automate the collec1on of data from mul1ple source systems spread across into staging area and load into data warehouse. • Crea1on of database objects like tables, views, procedures and packages using Oracle tools like Toad, PL/SQL Developer and SQL* plus • Performance-tuned workflows by me1culously iden1fying bohlenecks in targets, sources, mappings, sessions, and workflows, resul1ng in a significant improvement in overall processing speed and system efficiency. • U1lized Sqoop to seamlessly load data from rela1onal databases into Hadoop, ensuring efficient and secure data transfer • Part of the Agile/Scrum team and par1cipated in Standup, grooming, planning and retrospec1ve mee1ngs. • Executed incremental data loading strategies for enterprise databases u1lizing a Change Data Capture (CDC) approach, op1mizing efficiency and maintaining data integrity. • Developed source-target mapping document, business rules, cleanse rules and worked on transforma1on logic for all the interfaces. Technologies: Informa1ca Power Center, IICS (Informa1ca Cloud), IDQ, Linux, Teradata SQL Assistant, Teradata BTEQ, MLOAD, MSSQL, UNIX, Hadoop, Sqoop, HDFS
  • 3. Data Analyst/Developer Intern │ Axalta CoaWng MAY '17 - AUG '17 • Developed Python scripts to extract data from external sources and loaded into MYSQL DB • Collected, cleansed and performed data analysis of structured and unstructured data • Collaborated with colleagues and pro-ac1vely par1cipated in team mee1ngs with managers. Graduate Assistant │ Kent State University • Assisted in development of web applica1ons app for grading system using REST framework and also developed client-side logic • Completed research ac1vi1es that involve data analysis, data collec1on, and data cleaning using SQL server • U1lized Excel to create Pivot table, charts and graphs for analysis and reports Environment: Excel, SQL, PowerPoint, MS Word EducaWon Kent State University - Masters in digital sciences DEC 2016 Jawaharlal Nehru Technological University (JNTU) - Bachelors in Electronics and communica'ons MAY 2015 Skills • BI Tools: SSIS, Power BI, Informa1ca, Teradata tools, Azure Data Factory, PowerApps, Logic Apps • Techniques: ETL, A/B tes1ng, Hypothesis tes1ng, Sta1s1cal Analysis, Data modelling, Data mining • Programming: T-SQL, Python, Pandas, NumPy, Core Java, C#, HTML, CSS • Tools/U1li1es: PowerApps, Logic Apps, MS Visio, VSTS, Visual Studio, Azure Devops, Azure SQL,MS Word