Vetted Python Developers in the Greater Boston

Pre-screened and vetted in the Greater Boston.

JE

Senior Full-Stack Developer specializing in cloud-native microservices and AI-driven healthcare apps

Boston, MA11y exp
BCGUniversity of Cambridge
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Sayali Patil - Mid-level Python Full-Stack Developer specializing in Healthcare and FinTech in Everett, MA

Sayali Patil

Screened

Mid-level Python Full-Stack Developer specializing in Healthcare and FinTech

Everett, MA6y exp
Kaiser PermanenteHarrisburg University of Science and Technology

Backend engineer with hands-on experience building a fraud-transaction monitoring system in Python/Flask, architected as Dockerized microservices and integrated with Kafka for high-volume streaming. Demonstrates strong performance and reliability chops across PostgreSQL/SQLAlchemy tuning (EXPLAIN ANALYZE, N+1 fixes, bulk ops), multi-tenant data isolation, and scaling via background workers + Redis caching, plus real-time ML inference deployment using TensorFlow on AWS.

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PC

Pramod C

Screened

Mid-level Back-End Python Developer specializing in cloud-native microservices and FinTech

Boston, MA5y exp
State StreetBinghamton University

Backend engineer focused on building production-ready Python services (Flask/FastAPI) with strong performance and scalability instincts—Celery/Redis background processing, robust multi-tenant isolation (Postgres RLS), and pragmatic CI/Docker operations. Demonstrated measurable DB optimization impact (cut a critical analytics query from ~1–2s to ~100–150ms) and has hands-on experience integrating LLM/ML workflows (OpenAI, LangChain, embeddings, Redis/FAISS vector stores) without degrading API responsiveness.

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AP

Mid-level Data Scientist specializing in GenAI, RAG chatbots, and ML

Boston, MA4y exp
VerizonNew England College
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AA

Alexis Abbott

Screened

Senior Python Developer specializing in AWS, microservices, and data pipelines

Boston, MA6y exp
SumatoSoftPenn State University

Backend/data engineer with strong AWS production experience spanning serverless APIs and containerized workers (Lambda, API Gateway, ECS) plus data pipelines (Glue, S3, Athena/Redshift). Has modernized legacy SAS/cron batch systems into Python/AWS with parallel-run parity validation and low-risk cutovers, and has owned ETL incidents end-to-end (CloudWatch detection, backfills, and preventative controls). Targeting $130k–$150k base and strongly prefers remote, with occasional Bethesda onsite acceptable.

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