Ananya Khera
@ananyakhera
I build scalable Lakehouse and cloud ETL platforms for enterprise analytics and reliable data delivery.
IndiaWhat I'm looking for
At Zynix.AI, I design cloud-native ETL pipelines that process multi-terabyte healthcare datasets through a Medallion Lakehouse architecture, delivering analytics-ready data for reporting.
I built a metadata-driven ingestion framework for CSV, Excel, ZIP, Parquet, and NDJSON files, with schema validation, data quality checks, audit logging, and standardized workflows.
Previously at Adobe, I built AWS-based ETL and serverless data pipelines using Glue, Lambda, EC2, S3, Airflow, Python, and SQL. My processing optimizations improved production execution time by 30%.
I also build practical data and application solutions, from a healthcare ingestion SDK with Azure Blob and Delta Lake integration to a real-time Twitter sentiment analysis pipeline exceeding 85% classification accuracy.
Experience
Work history, roles, and key accomplishments
Data Engineer
Zynix.AI
Aug 2025 - Present (1 year 1 month)
Designed scalable cloud-native ETL pipelines using Python, PySpark, SQL, and Delta Lake to process multi-terabyte healthcare datasets within a Medallion Lakehouse architecture. Engineered a metadata-driven healthcare ingestion framework and optimized Spark transformations to improve data reliability and performance.
Designed scalable cloud-native ETL pipelines using AWS Glue, Lambda, EC2, and Amazon S3, improving production execution time by 30%. Built automated ingestion workflows with Apache Airflow and Python for enterprise-scale datasets.
Built a scalable ticket management application using Python, Flask, and SQL, reducing manual effort by 40%. Designed secure backend services and RESTful APIs for real-time synchronization and collaborative ticket management.
Education
Degrees, certifications, and relevant coursework
National Institute of Technology, Tiruchirappalli
Bachelor of Technology, Electronics and Communication Engineering
2019 - 2023
Pursued a Bachelor of Technology in Electronics and Communication Engineering from 2019 to 2023.
Tech stack
Software and tools used professionally
Availability
Location
IndiaAuthorized to work in
Salary expectations
Job categories
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