.png){kind=logo}
Vetted Data Engineers in Georgia
Pre-screened and vetted in Georgia.
Mid-level Data Engineer specializing in real-time streaming and ML feature pipelines
Senior Data Engineer specializing in AWS cloud migration and big data pipelines
Senior Cloud Data Engineer specializing in lakehouse platforms and streaming analytics
Mid-level Data Engineer specializing in real-time streaming and ML feature pipelines
Staff Data Scientist & GenAI/ML Engineer specializing in agentic systems and GraphRAG
Sri Niyati Kompella
Senior Data Engineer specializing in cloud data platforms and ML pipelines
“Data engineer focused on AWS-based enterprise data platforms, owning end-to-end pipelines from multi-source batch/stream ingestion (Glue/Kinesis/StreamSets/Airflow) through PySpark transformations into curated datasets for Redshift/Snowflake. Emphasizes production reliability with strong monitoring/observability and data quality gates, and reports ~30% performance improvement plus improved SLAs and latency after optimization.”
Mid-level Data Engineer specializing in cloud data pipelines and big data platforms
Senior Data Engineer specializing in AWS-based data pipelines and multi-tenant SaaS
Hari Chandana Bandreddi
Mid-level Data Engineer specializing in cloud data platforms and ETL automation
“Data engineer who has owned high-volume production pipelines end-to-end (200–300 GB/day) on AWS, implementing strong data quality/observability and achieving 99.9% reliability while cutting data issues ~33%. Also built a large-scale external data collection system ingesting millions of records/day with anti-bot/rate-limit handling and backfill tooling, and shipped a versioned REST service exposing curated Snowflake data to downstream teams.”
Mid-level Full-Stack/AI Engineer specializing in LLM microservices, RAG, and data pipelines