About Me
I'm a Senior AWS Data Engineer with 4+ years of experience designing and operating production data platforms on Amazon Web Services. My core work spans serverless ETL pipelines (AWS Glue, Lambda, Step Functions), real-time streaming with Amazon Kinesis, Redshift data warehousing, S3-based data lakes, and DynamoDB/Timestream — turning high-volume batch and streaming data into reliable, decision-ready products.
In healthcare, I run concurrent production ETL workloads delivering audit-ready data with zero missed SLAs, and cut pipeline runtime and infrastructure cost by 80% ($500/month) through PySpark profiling and optimization. In IoT, I built an end-to-end telemetry platform on AWS IoT Core → Kinesis → Lambda tracking 1,000+ vehicles at 10K events/sec with <30-second latency and zero data loss — including geofencing, alerting, and Google Maps road-matching.
I care about what happens beyond making a pipeline run: data quality gates, observability, fault-tolerant orchestration, cost optimization, and the experience of downstream consumers. Whether it's tuning Redshift distribution keys, scaling Kinesis shards, rewriting a Spark job, or designing a Bronze/Silver/Gold lakehouse, I like understanding the problem deeply and shipping clean, working solutions.