Automated 100% of recurring ETL tasks in SSIS using Self‐Hosted Integration Runtime, cutting manual work by 12 hours per week.
Migrated 3 ETL packages to Azure Data Factory, enabling pipelines that served 4+ teams, reducing processing latency by 50%.
Enhanced ETL efficiency by 2x , cutting processing time from 16 to under 8 hours, enabling faster reporting cycles.
Built a centralized data movement diagram in DrawIO, improving team comprehension and documentation quality by 50% Developed and maintained 10+ reusable Python scripts, pivotal role in automation efforts by 35% .
Datastreaming logic performed with Python IO library.
Developed 1 high performance RESTful application with FastAPI integrated with SQLAlchemy and PostgreSQL, enabling CRUD functionality.
Built 1 Django REST application, gained an understanding of models and views.
Deployed 7 Azure Function App incorporating data movement logic using CSV, XLSX, ZIP format, all using Python HTTP triggers. Sent Messages with Telegram BOT API for run completiong alerts via chat to group.
Modified and Created multiple Azure Data Factory Pipelines for Invoking Data Transfer via azure function app and ADF triggers with message alerts.
Debug the function apps with help of Azure App Insights.
Linux Foundation Additional Training
Certified with LFEL1011 OpenAPI Fundamentals AND LFS151 Introduction To Cloud Technologies.
IBM Backend Development Course Additional Training
Hands‐on Introduction to Linux Commands and Shell Scripting.
Django Application Development with SQL and Databases.
Introduction to Containers with Docker, Kubernetes & OpenShift.
Application Development using Microservices and Serverless.
Application Security for Developers and DevOps Professionals.
Monitoring and Observability for Development and DevOps.
Back‐end Application Development Capstone Project Hosted on Openshift Node.
2 Microservices, 1 in Django, 1 in Flask, for Concert Application.
Education
National Institute of Technology (NIT) Raipur, Chhattisgarh
B. Tech. in Information Technology Jul 2017 ‐ May 2021