Etl Developer

Nithish Sunkara

940-***-**** # Email ï LinkedIn

Professional Summary

• ETL Developer with 2+ years of professional experience designing and deploying robust ETL pipelines and managing enterprise data warehouse environments. Strong command of SQL, Python, and Informatica PowerCenter with a proven background in healthcare data systems (Facets). Experienced in migrating ETL processes from on-premise Oracle to cloud-based SQL Server and optimizing data pipelines for accuracy and performance. Adept at Agile development, cross-functional collaboration, and data quality monitoring. Education

University of North Texas Denton, TX

Master of Science (MS) in Computer Science GPA 3.6 August 2023 - May 2025 Mahatma Gandhi Institute of Technology Hyderabad, India Bachelor of Technology in Computer Science August 2017 - July 2021 Experience

ETL Developer August 2021 – July 2023

Infosys Limited Hyderabad, India

Designed and implemented ETL pipelines for multiple healthcare applications using Informatica PowerCenter

Migrated data pipelines from on-premise Oracle to cloud-hosted SQL Server, improving query efficiency and scalability

Automated data extraction and transformation processes across diverse sources including flat files and relational databases

Applied healthcare domain knowledge (Facets) to maintain regulatory compliance and ensure data integrity

Supported production ETL systems, monitored data quality, and resolved issues to ensure operational continuity

Participated in Agile sprints, contributing to backlog grooming, sprint planning, and timely delivery of data solutions

Data Science Intern June 2020 – May 2021

Innovians Technologies Hyderabad, India

Successfully earned a spot in a highly competitive technical training program, demonstrating strong aptitude and promising potential in software development.

Gained proficiency in cutting-edge technologies, including Python, Jupyter Notebooks, Pandas, Numpy, Matplotlib and SQL

Developed expertise in industry best practices for exploratory data analysis (EDA), data collection and processing, data visualization, machine learning techniques, data science process, and big data Projects

Analysis of United Nations Population Estimates and Projections SAS EM, Python, Tableau, Excel

Used the data from the UN Council for Social and Economic Development Statistical Agency to estimate the Migration and Mortality rates

Achieved a highest accuracy of 96.3 percent and 95.45 percent respectively using the Stepwise Linear Regression Model

Student Admission Predictor Python, SQL, Excel

Built a model that can effectively determine the chances of a student getting accepted by a college based on certain attributes, using the past 3 years data of college-wise allotment

Obtained a highest accuracy of 96.42 percent with the Random Forest Model Technical Skills

Languages: Python, SQL(CTEs, Stored Procedures)

Databases: Oracle, SQL Server, MySQL

ETL and Tools: Informatica Powercenter, Snowflake, Bash, GitHub, Power BI, Tableau Platforms: GCP, AWS, SAS Studio, SAS EM, Jupyter Notebook Other: Agile, SDLC, Data Warehousing, Data Lineage, Data Cleaning, Data Quality and Monitoring

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