Subha Chandra Mondal

About

Highly skilled Data Professional with demonstrated experience in ETL development, robust data pipeline construction, and cloud-based solutions across Azure and GCP platforms. Proven ability to leverage Python, SQL, Azure (ADF, Databricks, ADLS), and Apache Spark for designing and optimizing scalable data workflows, driving actionable insights and improving business processes. Seeking an Azure Data Engineer role to apply problem-solving expertise and contribute to organizational goals by building high-impact data solutions and enhancing data accessibility.

Work Experience

Associate (Data & Systems Support)

Wipro

Aug 2024 - Present

Kolkata, West Bengal, IN

Currently serves as an Associate at Wipro, responsible for designing, implementing, and optimizing ETL pipelines and data integration workflows to support critical business operations and decision-making.

Designed and implemented robust ETL pipelines using Python and SQL, processing over 25,000 daily inventory records to ensure accurate and timely order fulfillment.
Automated data ingestion and reporting workflows with Python scripts and Power BI dashboards, delivering actionable insights to 10+ stakeholders and reducing manual workload by 18+ hours per week.
Developed and maintained scalable data pipelines on Azure (ADF, Databricks) to extract, transform, and load data from diverse sources including MySQL, SQL Server, CSV, Excel, and APIs into structured datasets.
Implemented data validation checks with Python (Pandas) and optimized SQL queries for aggregations, joins, and anomaly detection, improving overall data quality by 27% and enhancing business analytics.
Collaborated with business and technical stakeholders to translate requirements into functional specifications, streamlining data workflows and reducing delivery delays by 13%.

Education

Mechanical Engineering

West Bengal University of Technology

Sep 2017 - Jun 2020

Kolkata, West Bengal, IN

Certificates

Data Analytics course with Azure bootcamp

Grow Data skills platform

Oct 2024

Big Data Engineering Bootcamp

Udemy

Jan 2024

Projects

Real-time Data Processing and Optimization project

Jul 2023 - Dec 2023

Engineered a real-time data processing and optimization pipeline on GCP Dataproc, utilizing Apache Spark and HDFS for e-commerce data analytics and reporting.

End-To-End Azure Data Engineering Pipeline project

Jan 2023 - Jun 2023

Developed a comprehensive Azure-based data engineering pipeline leveraging ADF, ADLS Gen2, PySpark, and Power BI for ingesting, transforming, and analyzing large-scale datasets.

Skills

Programming & Scripting

Python
SQL
PySpark
Spark

Cloud Platforms & Data Engineering

Azure Data Factory (ADF)
Azure Databricks (ADB)
Azure Data Lake Storage (ADLS)
Google Cloud Platform (GCP)
ETL
Data Pipelines
Data Modelling
Data Cleansing
HDFS
MongoDB
MySQL
SQL Server

Tools & Reporting

Power BI
Apache Spark
Airflow
CETAS