---
title: "Lakshya M. - Software Engineer in Bengaluru | Tal"
description: "Meet Lakshya M., Python Backend Engineer | Production ETL + Analytics Systems | AWS · Redis · Docker · Elasticsearch | M.Tech AI/ML | Bengaluru based in Bengaluru. AI stack includes claude code, cursor, and deepseek."
image: "https://tal.club/meet/lakshya-m/share-image"
---

# Lakshya M\. on Tal

## 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 &amp; 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 &amp; 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 &amp; Machine Learning, Amity University Gurugram

B\.tech, Computer Science, Amity University Gurugram

[View the original profile](https://tal.club/meet/lakshya-m)

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