Open to Mid-level Data Engineering Roles

Hi, I'm

Mitanshu Baranwal

5 years building production-grade ETL pipelines on AWS, orchestrating 1M+ record/day workflows with Apache Airflow, and integrating LLM-based automation into data platforms.

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Data Engineer & Platform Builder

William O'Neil India · Bengaluru, Karnataka

Data Engineer with 5 years of experience designing and owning production-grade ETL pipelines on AWS. Specialized in Apache Airflow orchestration, PySpark and AWS Glue transformations, and analytical data modeling for large-scale workloads (1M+ records/day). Currently serving as interim lead for a team of 4 engineers, building LLM-based automation (OpenAI, LangGraph, Pinecone) into the data platform for failure detection and self-service analytics.

Name Mitanshu Baranwal

Degree B.Tech Computer Science

Experience 5 Years

Location Bengaluru, India

Certification AWS CCP (CLF-C02)

Email mitanshubaranwal70232@gmail.com

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Education

2017 – 2021

B.Tech, Computer Science & Engineering

Lovely Professional University, Phagwara, Punjab

2017

XII CBSE — PCM

P.C. High School, Samastipur

2014

X CBSE

Holy Mission High School, Darbhanga

Certifications

May 2025

AWS Certified Cloud Practitioner (CLF-C02) AWS Official

Amazon Web Services

Work Experience

Dec 2023 – Present

Software Developer – Data Engineer Current

William O'Neil India, Bengaluru

Interim lead for 4 engineers, running code reviews and enforcing engineering best practices.
Own Airflow-orchestrated ETL pipelines processing 1M+ records/day with incremental loads, monitoring, and automated failure recovery.
Built AWS Glue + PySpark jobs loading large datasets into Amazon Redshift for downstream analytics.
Built OpenAI-powered failure detection that summarizes root cause and emails alerts — cutting manual triage.
Added LangGraph + Pinecone RAG for natural-language querying of pipeline metadata and workflow steps.

Sep 2022 – Jul 2023

Software Developer (Founding Engineer)

Excelmax Technologies / Unlimiteye, Bengaluru

Built an AI-driven video proctoring platform from scratch (0 → production) with computer-vision and NLP workflows.
Developed Django (MVT) microservices & MySQL schemas handling 2,000+ requests/day.
Built data pipelines feeding CV models (object detection, face & eye tracking) enabling 30+ automated assessments/week.

Jun 2021 – Sep 2022

Software Developer – Data Engineer

SHL (Saville and Holdsworth Ltd), Gurugram

Delivered analytical insights from 35M+ annual assessments for Fortune 500 clients.
Built modular big-data ETL workflows transferring 80GB+ daily into Amazon Redshift using Python, SQL & AWS.
Designed fact and dimension tables optimized for analytical workloads and downstream reporting.
Automated failure recovery and load balancing — saving 15 hours/week of manual work.

Core Languages

Python SQL

Orchestration & ETL

Apache Airflow ETL Pipelines Batch Processing Incremental Loads

Big Data & Processing

Apache Spark PySpark AWS Glue (Spark)

Data Modeling

Data Warehousing Star Schema Fact & Dimension Tables

AWS Cloud

Amazon S3 AWS Glue Amazon Redshift Amazon Athena AWS Lambda

Databases

PostgreSQL MySQL SQL Server Redis

AI / LLM

OpenAI API LangGraph Pinecone (RAG) Prompt Engineering

Backend & Tools

Django REST APIs Docker Celery Git

ETL Pipeline

Automated Web Data Extraction Pipeline

Python-powered extraction pipeline that automates web data ingestion, cleans messy content, and prepares analytics-ready datasets for reporting and downstream workflows.

PythonRequestsBeautifulSoupPandas

View on GitHub

Backend + Data

Order Processing & Data Workflow Platform

Robust Django + Celery + Redis workflow platform that processes orders and moves structured business data reliably through connected pipeline stages with async task queuing.

DjangoCeleryRedisDRFMySQL

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AI + Vision

Computer Vision Analytics Pipeline

Image analytics stack for object detection, face recognition, and emotion analysis — demonstrating expertise in unstructured data pipelines for advanced AI-driven analytics use cases.

PythonOpenCVDeep LearningKeras

View on GitHub