Headline

Data Engineer | I make enterprise data platforms run without babysitting: 800+ pipelines, self-healing retries, observability that cut manual monitoring 75% | MCP and AI tooling for ETL | Daimler Truck

About

800+ ETL pipelines and 30+ data products across truck plants in Detroit and Germany. I own them end to end: architecture, deployment, monitoring, and the production calls at 2am. Most of my work aims at one thing. Making a large data estate run without someone babysitting it. I built a self-healing retry framework that now recovers 3-5 failed runs a day on its own, and a company-wide observability layer that cut daily manual monitoring by around 75%. I led the data engineering workstream for our SAP S/4HANA migration and moved the ETL across with zero failures and zero business disruption. Lately I've been building the layer above that: Vortex, an internal platform tying five MCP servers to enterprise APIs, databases and 30+ repos, plus an AI system that turns plain-language requirements into production-ready Python pipelines and cut development effort about 60%. I also teach it. I designed our enterprise AI adoption workshops, one day in 2025 and three days in 2026, for 80+ managers, architects and technical leads. Outside work I build things that have no business existing, like my own programming language. Writing an interpreter teaches you more about correctness than reading about one ever will. Specialties: data engineering, ETL architecture, Talend, Databricks, Python, SQL, Spark, medallion architecture, MCP, LLM tooling, data governance and lineage, observability, SAP S/4HANA. Gearing up for the Fifth generation Industry.

Location

Bengaluru

AI stack

anthropic apis

claude code

claude

github copilot

openai

openclaw

Work experience

Senior Data Engineer at Daimler Truck Innovation Center India (DTICI), Jul 2023 - Present · 3 y 2 mo, Karnataka, India, Built Vortex, an internal platform tying together five MCP servers, enterprise APIs, databases, and 30+ repos — data lineage, governance, documentation, and dev productivity tools, plus an AI analytics layer (LibreChat, MCP, OpenAI APIs, Ollama). Built an MVP-stage cybersecurity agent on GitHub, scanning new code across 10+ repos for vulnerabilities and auto-alerting owners, with a chat interface for deeper investigation. Own architecture, development, deployment, monitoring, and production support end-to-end for 800+ ETL pipelines and 30+ data products across US (Detroit) and Germany plants; drove the ETL, config, and alerting standards teams build against. Built a company-wide observability capability (dashboards, health checks, automated alerting), cutting daily manual monitoring effort ~75%. Built a configurable self-healing retry framework, now used across the pipeline estate, recovering 3-5 failed runs a day automatically. Led resolution of critical production incidents — Talend Remote Engine failures, database outages, session locking, data failures — via root-cause fixes that cut recurrence. Led the data engineering workstream for the SAP S/4HANA migration, executing the ETL transition with zero failures and zero business disruption. Designed the Cost Deployment pipelines on a medallion (bronze/silver/gold) architecture with MCP integration, enabling stakeholders to run AI-assisted analytics directly. Ran two AI PoCs: shopfloor data visualization with MCP/ML for dashboards and lineage tooling, and an AI-assisted ETL PoC turning plain-language requirements into two working Python pipelines. Designed and ran enterprise AI adoption workshops (1 day in 2025, expanded to 3 days in 2026) for 80+ managers, architects, and technical leads. Mentored two engineers and one intern to independent-contributor status; go-to technical advisor for SQL, Talend, debugging, and architecture.

Java Software Developer at Daimler Truck Innovation Center India (DTICI), Feb 2023 - Jul 2023 · 6 mos, Bangalore

Sparks Foundation at The Sparks Foundation, Sep 2022 - Feb 2023 · 6 mos, Mysore, Karnataka, India

Student Intern at The Tann Mann Gaadi, Nov 2021 - Feb 2022 · 4 mos, India, Flutter App developer, Face Recognition

App Developer at The Sparks Foundation, Aug 2021 - Sep 2021 · 2 mos, Mysore, Karnataka, India

Education

Bachelor of Engineering - BE, Computer Science, The National Institute Of Engineering, Mysore

Public links

github: https://github.com/iam-kira

iam-kira.github.io: https://iam-kira.github.io/vijaybiradar/