Data Engineering & Integration
Reliable ETL/ELT pipelines that move and shape data at scale across warehouses and lakes.
A data enthusiast with 10+ years turning raw data into actionable insights and intelligent, automated outcomes — data pipelines, ML models, and AI-powered dashboards, built with spec-driven, AI-paired development.
Bonjour · Hola · Namaste 👋 — I'm Anil Kumar Kondla, a passionate data enthusiast with over a decade of experience in decision-driven business intelligence and AI-powered solutions.
With strong business acumen, I have a proven track record of building efficient data pipelines, deploying machine learning models, and creating intuitive dashboards that empower businesses to make informed, intelligent decisions. My experience spans Sales, Supply Chain, Marketing, Finance, Healthcare, Pharmacy, Contact Center, Legal, and Fraud analytics.
I apply NLP, Large Language Models, Retrieval-Augmented Generation (RAG), Conversational Analytics, and Generative AI to solve complex, real-world problems — bridging experimentation and production-grade AI through data cleansing, feature engineering, predictive modelling, model monitoring, and MLOps.
Increasingly, I work through spec-driven, AI-paired development — writing clear specifications first, then building alongside AI to ship reliable data and AI systems faster and with fewer surprises.
From raw source to production-grade AI — here's where I spend my time.
Reliable ETL/ELT pipelines that move and shape data at scale across warehouses and lakes.
Interactive dashboards that make metrics obvious — enhanced with AI-driven insight generation.
From experimentation to production — predictive modelling, anomaly detection, monitoring, and MLOps.
LLMs, RAG, and natural-language interfaces that let people simply ask their data questions.
Specs first, code second. I define clear, testable specifications for a pipeline, model, or dashboard, then pair with AI to implement, review, and iterate — shipping production-grade data & AI systems faster, with fewer surprises and clean, reviewable outcomes.
The stack behind the pipelines, models, dashboards, and AI systems.
A decade of data & AI across product, consulting, and enterprise teams.
Side projects where I share what I learn across tech and lifestyle.
Code pays the bills, but these keep me curious and creative.
Building things is my happy place.
A music lover who can make you tap your feet with a solo.
Where my creativity knows no bounds.
New people and new cities keep me energized.
Open to data & BI roles, freelance dashboards, and good conversations. Reach out on any of these.