I'm a Backend & Data Analytics Engineer with 5+ years of experience building APIs, data platforms, and internal tools that drive growth across developer, product, and customer facing teams.
My core strength lies in designing APIs, automating data flows, and building self-serve analytics tools that improve decision-making for developers, community managers, and business leaders.
At MongoDB, I have built a Streamlit + Flask analytics platform used by 40+ Developer Advocates and senior leadership (including the CMO) to track content performance, engagement, and campaign attribution. I also developed backend pipelines that ingest data from platforms like Meetup, Wrike, Medium, and Dev.to into MongoDB Atlas + Trino, powering insights in Salesforce for community and marketing teams.
I've worked across REST and GraphQL APIs, built scalable ETL pipelines, and contributed to systems used by 200K+ developers. I collaborate closely with DevRel, Product, Marketing and Community teams to align engineering work with business goals.
Previously at Innovaccer, I led FHIR API ingestion pipelines for Snowflake and built Flask + React dashboards to drive data visibility across departments, as well as worked on generating reports(SQL, Sisense, Power BI) for internal teams and customers.
I’m passionate about solving problems at the intersection of data, engineering, and UX—whether it’s building the right API, delivering clean attribution data, or making internal metrics more actionable.
I've also mentored students from underserved communities via Mentors Without Borders and Prayas NGO, teaching Python, analytics, and project-building skills.
- Languages & Scripting: Python, SQL, JavaScript (React, Redux), HTML/CSS
- Backend & Automation: Flask, Django, REST APIs, GraphQL, AWS (Lambda, S3, EventBridge), Git, Kubernetes
- Data & Analytics: Snowflake, Redshift, PostgreSQL, Trino, MongoDB, Streamlit, Sisense, Tableau, Looker, Amplitude, GA, Power BI
- Tools & Communication: Jira, Confluence, Technical Documentation, Public Speaking, Community Building
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🔗 Redis URL Shortener Flask + Redis app to create trackable short links, demonstrating efficient data storage and retrieval for analytics.
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☁️ Serverless Weather Pipeline A scalable, serverless AWS pipeline (Lambda, S3, EventBridge) for ingesting real-time weather data, showcasing expertise in event-driven architecture.
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📊 Data Engineering End-to-End End-to-end pipeline turning raw data → star schema → marts → final charts using Python, DuckDB, and the Medallion architecture, highlighting full-stack data engineering skills.
Need help with interview prep, backend projects, or career clarity?
📅 Book time with me on Topmate.io/satyamgupta
⭐ If you found something useful here, feel free to star a repo or connect — always happy to collaborate!