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SRAVANI YALAMARTHI

@sravaniyalamarthi

Message

Data engineer and analyst driving scalable ETL pipelines and actionable insights in cloud environments.

United States

Message

What I'm looking for

I seek a data engineering role where I can build scalable ETL pipelines, leverage AWS/cloud, collaborate cross-functionally, and drive data-driven business decisions.

I am a detail-oriented Data Engineer & Analyst with 3+ years of experience designing secure data platforms, building ETL pipelines, and delivering actionable insights across healthcare, pharmaceutical, and technical operations. I specialize in SQL, Python, AWS (S3, Redshift, Glue), data modeling, warehousing, and performance tuning to ensure data integrity and scalable solutions.

I have hands-on experience optimizing query performance, automating reporting, and building interactive dashboards in Power BI and Tableau, and I collaborate effectively with cross-functional teams to support advanced analytics and machine-learning initiatives. My work emphasizes automation, governance, and measurable performance improvements to drive business decision-making.

Experience

Work history, roles, and key accomplishments

Current

Data Engineer

Current

JPMorgan Chase & Co.

Aug 2025 - Present (7 months)

Designed, developed, and maintained scalable ETL/ELT pipelines and data platforms using Python, SQL, Spark, and cloud services to centralize data lakes/warehouses and support analytics and ML initiatives.

Python SQL Spark AWS ETL Data Modeling Data Warehousing Data Quality Performance Tuning

Data Analyst

Cognizant Technology Solutions

Jul 2021 - Aug 2023 (2 years 1 month)

Designed and maintained ETL pipelines and dashboards, optimized SQL queries to improve reporting performance by 30%, and implemented automated data quality checks for regulatory compliance.

SQL Python ETL Power BI Tableau AWS S3 Data Quality Documentation Performance Optimization

Data Analyst Trainee

Cognizant Technology Solutions

Dec 2020 - Jun 2021 (6 months)

Developed real-time operational dashboards and data ingestion workflows into AWS S3, supported data modeling and statistical analyses to inform maintenance and supply-chain decisions.

Python SQL AWS S3 Dashboards Data Ingestion Data Modeling Statistical Analysis A B Testing

Education

Degrees, certifications, and relevant coursework

Saint Peter's University

Master of Science, Data Science

Master's in Data Science completed at Saint Peter's University with coursework and projects focused on data engineering, analytics, and cloud technologies.