Results-driven Azure Data Engineer with strong skills in Azure Data Factory, Python, and SQL. Proven ability to optimize data pipelines and manage large-scale data operations to enhance business outcomes.
Overview
4
4
years of professional experience
Work History
Azure Data Engineer
Project 2: Walmart (Retail)
11.2022 - 06.2024
Managed continuous pipeline monitoring in ADF and implemented automated alerts using Azure Logic Apps for customized success/failure notifications.
Implemented CI/CD pipelines in Azure DevOps for deploying ADF pipelines and Databricks notebooks.
Developed and optimized data ingestion, transformation, and storage workflows across Azure Data Factory, Azure Databricks, and Azure SQL Database.
Built interactive data applications and REST APIs using Python (FastAPI, Streamlit) to support business operations.
Designed reusable data pipelines integrating structured/unstructured data into Azure Synapse Analytics.
Ensured performance optimization, code debugging, defect resolution, and rigorous unit testing for production stability.
Collaborated with cross-functional teams to handle large-scale retail data operations, ensuring scalability and compliance.
Azure Data Engineer
Project 1: Momenta (Pharmaceutical)
09.2021 - 10.2022
Monitored, troubleshot, and resolved failed pipelines in Azure Data Factory (ADF).
Designed and developed integrated datasets in Azure SQL using advanced SQL queries and stored procedures.
Performed data quality checks and handled null values during ETL processes in ADF.
Created and scheduled triggers in ADF to align with project requirements.
Supported deployment processes through Azure DevOps (CI/CD) for seamless migration to testing and production environments.
Built REST API-based data solutions using Python (FastAPI, Pandas, NumPy, JSON) integrated with Azure Data Lake and Blob Storage.
Implemented unit testing with pytest to ensure reliable and scalable code.
Contributed to ETL processes, moving data from multiple sources into Azure Synapse Analytics and Data Warehouses.
Junior Data Engineer
ACCENTURE
04.2020 - 08.2021
Monitoring the Pipeline and Job in ADF & Databricks.
Worked on Various File Formats like CSV, JSON, XML, Parquet, xlsx and sources like API, SharePoint, Web API etc.
Created multiple pipelines to copy data to different environments like ADLS, Synapse.
Used various Spark Transformations and Actions on Dataframe and Dataset for cleansing data.
Designed And Developed Data Ingestion Pipelines from On-Premise to Different Layers into The ADLS Using Azure Data Factory (Adf V2) Logic App Service to Send E-Mail Notification for Success & Failure of ADF Pipelines.