.png){kind=logo}
Vetted Data Engineers in Washington
Pre-screened and vetted in Washington.
Ankit Chaudhary
Senior Data Engineer specializing in cloud data platforms and analytics pipelines
Pavanika Thotakura
Senior Data Engineer specializing in cloud big data pipelines and real-time streaming
“Amazon data engineer who built a real-time fraud detection pipeline for AWS Lambda, tackling multi-region telemetry quality issues and scaling stream processing for billions of daily requests. Strong in production-grade data/ML workflows on AWS (EMR, Glue, Kinesis, SageMaker) with hands-on entity resolution and anomaly detection.”
Ayushi Goyal
Mid-level Data Engineer specializing in analytics, BI dashboards, and ETL pipelines
Shriya Bannikop
Mid-level Software Engineer specializing in cloud platforms, data engineering, and distributed systems
“Full-stack engineer who built and owned an AI-assisted job-matching dashboard in Next.js App Router/TypeScript, keeping LLM logic server-side and improving performance via deduplication, caching/revalidation, and streaming (35% fewer duplicate LLM calls; 40% faster first render). Also has strong data/backend chops: designed Postgres models and optimized queries at million-record scale (1.8s to 120ms) and built durable AWS multi-region telemetry workflows with idempotency, retries, and monitoring.”
Jessica James
Junior AI/Data Engineer specializing in LLM agents and data governance automation
SHIVAM MEDAM
Mid-level Data Engineer specializing in scalable batch/streaming pipelines and cloud data platforms
Madhav Vaddepalli
Senior Data Engineer specializing in cloud data platforms and big data pipelines
Mohith Venkata
Mid-level Full-Stack Developer specializing in cloud-native APIs and data workflows
“Built and owned end-to-end ordering and inventory/order management systems for a wholesale distributor, delivering an MVP quickly and iterating based on direct observation of daily users. Experienced with TypeScript/React + Node.js layered architectures and microservices using RabbitMQ, including real-world scaling issues (duplicates, backpressure) and observability practices (correlation IDs, structured logging).”
Sai Namrata A
Mid-level Product Manager specializing in AI, data governance, and B2B SaaS
Saikiran Jakkan
Mid-level Technical Product Manager specializing in AI and data platforms
Ayushi Patel
Mid-level Software Engineer specializing in cloud data platforms and serverless ETL
“Data/ML engineer from HCLTech who modernized enterprise data by linking fragmented financial and supply-chain data across SAP/SQL Server/Snowflake using NLP entity linking and embeddings (FAISS). Delivered measurable impact including ~40% reduction in manual error-log triage and entity-linking accuracy improvements from ~86% to ~93%, with results surfaced in Power BI for real-time analytics.”
Srinivasan Gomadam Ramesh
Senior Software Engineer specializing in LLM agents and RAG pipelines
Karthik Patralapati
Mid-level AI/ML Software Engineer specializing in GPU-optimized LLM inference and cloud microservices
“Built and deployed a production RAG-based multilingual analytics assistant for healthcare operations, enabling non-technical teams to query claims/EHR and risk metrics with grounded explanations. Demonstrates strong end-to-end LLM system engineering (retrieval tuning, re-ranking, hallucination controls, verification layers) plus workflow orchestration (Airflow/Composer/Step Functions) and stakeholder-driven iteration via prototypes and dashboards.”