DATA ENGINEER · BANGALORE, INDIA

Puru Singh.

Complex data.
Clear possibilities.

Building high-performance data pipelines and intelligent systems with Spark, Databricks, and Generative AI.

Download resume Get in Touch

Databricks specialist Spark · SQL · Generative AI

THE LAKEHOUSE, IN MOTION● DATA FLOW

From raw signals to reliable decisions.ETL / 01

Built for scale. Designed for impact.Explore my work

80%

Faster ETL job runtimes

110+

Business reports supported

Databricks certifications

01 / EXPERIENCE

Engineering real-world impact.

Data Engineer – Databricks, Generative-AI

Genpact · Client: GE Vernova

Bangalore, Karnataka Oct 2024 – Present

Spearheaded the end-to-end migration of mission-critical ETL pipelines for the Manufacturing Domain for GE Vernova from PostgreSQL (Greenplum) to SparkSQL and PySpark on Databricks, improving job runtimes by 80% via logical flow enhancements.
Owned the development of backend architecture on Databricks for 110+ Business Objects (BO) reports integrated with Oracle ERP systems, streamlining complex reporting for key business stakeholders.
Developed and maintained the backend for Sales and Operations Planning (S&OP) - monthly cross-functional business process, ensuring the integrity of high-fidelity data for critical KPIs.
Modernized the Enterprise Data Lake (EDL) by transitioning sources from PowerNow 1.0 to 2.0, ensuring architectural consistency and zero data loss for global operations.
Orchestrated robust workflows using Apache Airflow and Databricks native features to ensure scalable, production-grade data processing.
Engineered Gen-AI and RAG systems using Python to automate insight generation and improve data discoverability within the data ecosystem.
Collaborated across cross-functional teams to streamline migration across Ingestion, Transformation, and Visualization layers.

Genpact x GE Vernova - Databricks Migration

Intern – Data Analyst, Gen-AI

Genpact

Hyderabad, Telangana Feb 2024 – Jul 2024

Developed a Python automation script using LangChain to generate summaries of 10-K financial reports, achieving an 85% speedup over existing manual solutions.
Built a Financial Health Dashboard for Consumer Banking using Power BI, providing a comprehensive overview of income and spending with automated goal suggestions.
Performed data preprocessing and cleaning to extract actionable insights for banking sector stakeholders.

Intern – Android Development & Security

DRDO

New Delhi, Delhi Jul 2023 – Aug 2023

Developed a background Android application using Kotlin and Jetpack Compose to capture and forward system notifications via SMS.
Conducted security analysis using MobSF (static and dynamic), identifying critical flaws and reducing total testing time by 70%.
Implemented real-time logging and system-level API integrations (SmsManager) for secure notification monitoring.

02 / SELECTED PROJECTS

Curiosity, put into code.

Loocle – Self-Hosted Photo Backup & Web App

Engineered a cloud-independent photo management system replicating the Google Photos experience on local hardware.
Built a Python Flask web app with fast metadata-based search, caching, and multi-shot facial recognition features.
Automated wireless Android backups using ADB over Wi-Fi for seamless syncing between devices.
Implemented automatic metadata tagging using local LLMs via Ollama to associate detected faces with person names, enhancing organization and quick retrieval.

Face Recognition via One-Shot Classification

Recognizes faces from a single source image using embedding differences.
Over 90% speedup versus traditional face recognition.
Built with FaceNet, Haar Cascade, and one-shot classification.

03 / SKILLS & CERTIFICATIONS

The tools behind the work.

Python Flask Apache Spark Apache Airflow Databricks SQL AWS REST APIs C++ Kotlin Power BI Excel LangChain RAGs Ollama Machine Learning Automation Scripting