Fahad Chaudhary

I’m a Staff Data Engineer with over decade of experience designing and building scalable data pipelines, ETL/ELT workflows, and real-time data systems in cloud environments. I specialize in SQL, Python, and PySpark with distributed processing using Apache Spark.

At Aya Health Technologies, I designed and led end-to-end data platforms (ingestion → transformation → modeling → serving) for large-scale batch and streaming workloads. I architected modern ecosystems using Snowflake, Apache Spark, and dbt, and exposed data products through backend services, APIs, and microservices (Python/Java).

I’ve built high-throughput real-time processing pipelines with tools like Apache Kafka and Kinesis, and I established strong data quality, validation, observability, and governance frameworks (including compliance and PII masking). I lead technical architecture decisions, design reviews, and engineering standards to improve scalability, performance, and cost efficiency.

Previously at Vision Critical and Sensibill, I migrated legacy ETL to cloud-native platforms, built and optimized ETL/ELT pipelines with Snowflake and Databricks, and orchestrated workflows with Apache Airflow, dbt, and Dagster. Across healthcare, fintech, SaaS, and e-commerce projects, I consistently deliver reliable data platforms with CI/CD, Infrastructure as Code, and a focus on governance and data integrity.