Tejaswini AT
@tejaswiniat
Senior Data Engineer specializing in cloud-native, AI-ready data platforms for healthcare, banking, and retail.
What I'm looking for
I am a Senior Data Engineer with 5+ years designing and supporting scalable, secure, high-performance data platforms across Healthcare, Banking, and Retail. I build end-to-end ETL/ELT pipelines, lakehouse and data warehouse solutions, and AI/GenAI-ready datasets using Azure, AWS, Databricks, Snowflake, and Apache Spark.
I have delivered HIPAA-compliant healthcare analytics, banking transaction and loan analytics, and near real-time retail pipelines, while implementing CI/CD, observability, and data governance. I collaborate in Agile teams to translate regulatory and business requirements into production-grade, performance-optimized data solutions.
Experience
Work history, roles, and key accomplishments
Senior Data Engineer
Optum
May 2024 - Present (1 year 9 months)
Owned design and production support of a Lakehouse architecture for healthcare claims, enrollment, and provider data, delivering AI-ready and HIPAA-compliant datasets and improving pipeline reliability and audit readiness.
Data Engineer
PNC
Sep 2023 - Apr 2024 (7 months)
Primary data engineer for banking analytics pipelines, designing cloud-based ingestion and transformation workflows for transactions, loans, and customer data to improve reporting accuracy and regulatory readiness.
Data Engineer
Cognizant
Oct 2019 - Jul 2023 (3 years 9 months)
Designed and implemented cloud-native data platforms on AWS, building Spark-based ETL/ELT and near-real-time pipelines to support large-scale retail analytics and data warehouse modernization.
Education
Degrees, certifications, and relevant coursework
University of North Texas
Master of Science, Data Engineering
Completed a master's degree at the University of North Texas focusing on advanced topics relevant to data engineering and analytics.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
Skills
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