Data Engineer Portfolio

About Me

I'm a data-driven professional at the intersection of engineering, science, and AI — building scalable pipelines, crafting intelligent models, and deploying real-time solutions in the cloud.

With a strong foundation in modern data architectures and machine learning, I specialize in designing end-to-end systems that transform raw data into actionable intelligence. My expertise spans cloud platforms, big data processing, and AI integration — enabling organizations to harness data for smarter decisions and intelligent automation.

2+

Years
Experience

10+

Data Pipelines
Built

10+

Technologies
Mastered

Technical Skills

Data Storage & Warehousing

Azure SQL

Azure PostgreSQL

Azure Data Lake Gen 2

Azure Synapse Analytics

MongoDB (NoSQL)

Programming & ETL

Python

PySpark

SQL

KQL

Shell Scripting/Bash

Apache Airflow

dbt

Cloud & Big Data

Microsoft Fabric

Azure Data Factory

Azure Databricks

Azure AI Foundry

Azure Machine Learning

Azure OpenAI

Azure AI Services (Speech, Vision, Language)

Docker

Analytics & Visualization

Tableau

Streamlit

Plotly

Geospatial Clustering

Pandas

NumPy

Professional Experience

Data Scientist

LTIMindtree Canada 2024 - Present

Designed and optimized end-to-end data pipelines using Azure Data Factory, Azure Databricks, Synapse Analytics, and ADLS Gen 2, improving throughput by 60%
Deployed LLMs including Azure OpenAI, Hugging Face, and Llama to support audience segmentation and prediction use cases, increasing model accuracy by 20%
Built and managed scalable, production-grade ETL pipelines using Python and PySpark across structured and unstructured data
Applied CI/CD practices (Azure DevOps, GitHub) and automated model deployments using Prompt Flow & Kubernetes
Oversaw compute instances, clusters, and Azure Kubernetes deployments, supporting model registration, Prompt Flow jobs, and custom Docker scripts for environment configuration
Worked cross-functionally with data scientists and business stakeholders to gather requirements and translate them into robust data engineering solutions
Implemented monitoring and performance logging to enable data quality validation and root-cause troubleshooting

Graduate Teaching Assistant - Big Data

Trent University 2023 - 2024

Assisted the course director in teaching Introduction to Databases, Introduction to Data Science, and Data Visualization courses, fostering engagement among 160 students
Mentored students in SQL (MySQL and PostgreSQL), NoSQL (MongoDB), and machine learning pipelines, achieving a 99% student success rate
Supported faculty in research projects, utilizing R for data analysis, and presented findings to stakeholders

Software Engineer

Capgemini 2021 - 2022

Migrated 85% of custom SQL databases from Java architecture for optimized data storage in product lifecycle development
Improved query execution speed, enabling faster data validation and enhancing storage optimization

Projects & Publication

NYC Taxi Analysis using Synapse

Built a real-time data pipeline processing 1M+ events using the Azure Synapse Analytics

Azure Synapse Analysis TSQL

Code

Backorder Prediction

Developed and hosted a Web Application to Analyze and Predict the Backorder of the products in the warehouse

Python SQL Flask AWS S3 AWS CodePipeline AWS Elastic Beanstalk

Code

Crime Analysis Application

Developed a Streamlit Dashboard to analyze the crime data for the city of Chicago

Python Streamlit Docker GCP BigQuery SQL DBSCAN Clustering Dashboard

Code IEEE

Flight Delay Prediction

Created a web application to predict whether a Flight will be delay or not based on the input from the user

Python Flask Random Forest Classifier

Code

View All Projects

Hi, I'm
Devvrat Rajesh Mungekar

Data Scientist | Data Engineer | AI Engineer

About Me

2+

10+

10+

Devvrat Rajesh Mungekar