trushna patel
@trushnapatel
Data engineer and Python developer specializing in scalable ETL solutions.
United StatesWhat I'm looking for
I am a data engineer and Python developer with 7+ years building and maintaining ETL pipelines, data warehouses, and production data platforms. I hold an M.S. in Information System Technology and strong foundations in big data analytics and cloud computing.
My work emphasizes performance and cost optimization: I architected PySpark pipelines and Delta Lake solutions that improved processing times and reduced compute costs while enforcing data quality and PHI masking for regulated healthcare datasets.
I have built serverless and orchestration solutions on AWS (Lambda, Step Functions, S3, EMR, Glue) and automated infrastructure and data workflows with Boto3, CI/CD practices, and unit testing. I also engineered an AI-powered meeting-summary automation using Google Gemini and Python to reduce manual documentation time by 70%.
I bring experience across real-time streaming (Kafka, Kinesis), data migration, BI/dashboarding, and data engineering tooling, and I seek roles where I can drive scalable, secure, and cost-efficient data solutions that enable analytics and product teams.
Experience
Work history, roles, and key accomplishments
Sr Technical Data Analyst
hmetrix
May 2025 - Present (9 months)
Architected and optimized high-volume PySpark ETL/ELT pipelines for healthcare claims and patient records, reducing processing time by 40% and cluster costs by 25% while achieving 99.9% data quality for regulatory reporting.
ORDeveloped and enhanced Python and Spark ETL pipelines reducing processing time by 35% and optimized Spark workloads to cut average query times from 1.5 hours to 37 minutes; built Lambda and Step Functions orchestrations for SQS-driven workflows and automated resource management with Boto3.
ORDeveloped and enhanced Python and Spark ETL pipelines and AWS serverless workflows, reducing processing time by 35% and optimizing Spark workloads to cut query times from 1.5 hours to 37 minutes.
Python / AWS Data Engineer
TCS
Oct 2019 - Apr 2021 (1 year 6 months)
Led development of Spark-based ETL pipelines into Redshift and implemented real-time streaming with Kafka and Spark Streaming to process up to 20M records, writing Parquet outputs to S3 and scheduling EMR jobs for daily processing.
Data Engineer
Amar Technology
Jun 2014 - Oct 2016 (2 years 4 months)
Assisted in maintaining and optimizing ETL pipelines with Spark and Python, developed Tableau dashboards, and deployed ETL jobs on AWS Glue to improve transformation performance.
Education
Degrees, certifications, and relevant coursework
WUWilmington University
Master of Science, Information System Technology
2017 - 2019
Master of Science in Information System Technology with coursework and project work focused on data mining, big data analytics, and cloud computing.
Gujarat Technological University
Bachelor of Engineering, Computer Engineering
2009 - 2014
Bachelor of Engineering in Computer Engineering covering core topics in software development, systems, and data processing.
Tech stack
Software and tools used professionally
Availability
Location
United StatesAuthorized to work in
Job categories
Skills
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