Headline

Python Backend Engineer | Production ETL + Analytics Systems | AWS · Redis · Docker · Elasticsearch | M.Tech AI/ML | Bengaluru

About

नमस्ते / Hello / Hola / Bonjour, I build the systems that turn raw data into decisions. As a Software Engineer at Connect Secure Pvt. Ltd., I own three production modules end-to-end, an Apache Superset analytics dashboard powered by DuckDB and Cloudflare R2, an automated multi-format reporting pipeline (DOCX, XLSX, PDF, PPT) delivering to 100s of tenants via AWS SES and SFTP, and a Chrome extension backend with a Next.js/Supabase dashboard on Vercel. My stack: Python · PostgreSQL · Redis · Elasticsearch · AWS (S3, SES, Lambda) · Docker · Kubernetes · Next.js · TypeScript I graduated with an M.Tech in AI & Machine Learning (CGPA 8.84) from Amity University, which means I don't just build pipelines, I understand the data flowing through them. What I'm focused on: Senior Backend or Data Engineering roles where I can own systems at scale, work with distributed architectures, and keep pushing toward ML-integrated data platforms. Open to roles in Bengaluru or remote. Let's connect.

Location

Bengaluru

AI stack

claude code

cursor

deepseek

gemini

grok

hermes agent

Work experience

Software Engineer at ConnectSecure, Sep 2024 - Present · 2 yrs 3 mos, Bengaluru, Independently owned 3 production modules — Dashboard Analytics, Reports & Schedulers, and SnipGauge — end-to-end from design to deployment. •Built ETL pipelines ingesting and validating 10GB+ of daily security data (Cloudflare R2 → DuckDB) with 99.9% reliability, enabling real-time compliance analytics across multi-tenant enterprise environments. •Optimised multi-tenant PostgreSQL and DuckDB schemas and SQL query logic, cutting dashboard load time by 40% and eliminating data inconsistencies across client views in Apache Superset. •Engineered an automated report generation system producing 500+ monthly reports (DOCX, XLSX, PDF, PPT) using Python, Redis, and Elasticsearch — replacing manual processes entirely and delivering via AWS SES, Office 365, and SFTP. •Implemented Redis caching and RabbitMQ event-driven messaging for async report scheduling, improving pipeline throughput and system reliability under concurrent workloads. •Maintained CI/CD pipelines (Jenkins + GitHub) and containerised microservices using Docker and Kubernetes; collaborated with backend, QA, and DevOps teams to ship production-grade features.

Data Analyst at Avishkaar, Aug 2022 - Sep 2022 · 2 mos, Delhi, India, Completed a 1-month Data Analyst internship at Avishkaar (startup) during my college summer break, where I was responsible for maintaining and updating product data across the company website and Excel (XLSX) sheets, ensuring accuracy and consistency. I analyzed product features and specifications to improve data quality and usability, and documented product details in a structured format to enhance organization and accessibility of information.

Education

M.Tech, Artificial Intelligence & Machine Learning, Amity University Gurugram

B.tech, Computer Science, Amity University Gurugram