Headline

Data Engineer · Microsoft Fabric Certified | PySpark · Python · Azure Fabric · ETL Pipelines | Power BI · SQL · Databricks | Immediate Joiner 🚀

About

Microsoft Fabric Certified Data Engineer with 1.5+ years of production experience building ETL pipelines, data lakehouses, and analytics solutions across Python, PySpark, SQL, and Azure Fabric. 🔧 What I build: I design and deploy end-to-end data pipelines that transform raw, messy data into reliable, analytics-ready datasets. At CGI (Bangalore), I delivered measurable results — improved data quality by 35%, reduced report generation time by 40%, and cut deployment errors by 60% through CI/CD automation with Docker and GitLab. ☁️ My technical stack: ETL & Big Data: PySpark, Apache Spark, Python, Apache Hive, Hadoop HDFS, Apache Kafka, Apache Airflow Cloud Platforms: Microsoft Azure Fabric, Azure Data Factory, AWS IoT Core, Google Cloud Platform, Databricks Databases & Warehousing: SQL, PostgreSQL, MySQL, MongoDB, Delta Lake, Medallion Architecture Visualization: Power BI (DAX, Power Query), Tableau DevOps: Docker, Kubernetes, GitLab CI/CD, GitHub Actions 📜 Certifications: • Microsoft Fabric Analytics Engineer Associate (Microsoft, 2025) • Google Cloud Professional Data Engineer (Skillsoft, 2026) • Power BI Data Analyst (Skillsoft, 2026) • Data Engineering with Hadoop & Apache Spark (GeeksforGeeks, 2025) 🌆 Projects I'm proud of: Built a real-time IoT sensor data lakehouse on AWS + Databricks using Medallion Architecture and Apache Airflow. Developed a Sales Insights Dashboard in Power BI with star schema modeling and DAX measures that drove data-driven sales decisions. Currently completing MCA from GLA University (2025) and open to Data Engineer, ETL Developer, BI Developer, and Data Analyst roles in Bangalore, Hyderabad, Pune, Noida, or Remote. 📩 Let's connect — I'm an immediate joiner and actively looking

Location

Aligarh

Work experience

Associate Software Engineer at CGI, Mar 2025 - Jul 2025 · 5 mos, Banglore, Built Python ETL scripts that improved data quality by 35%. Engineered Kafka-based ingestion pipelines processing over 1M streaming records per day. Optimized PySpark transformations, cutting report generation time by 40%. Automated deployments with Docker and GitLab CI/CD, reducing errors by 60%. Designed Hive schemas and performed SQL-based data checks, ensuring accuracy and reliability.

NILET at Nilet( gov organization), Jan 2025 - Feb 2025 · 2 mos, Delhi, India, Conducted training sessions for students on core programming concepts (Python/Java), databases, and software development. Guided students in building academic and real-time projects, ensuring hands-on learning and practical implementation. Designed and reviewed project workflows, helping participants apply SDLC principles from planning to deployment. Enhanced my own expertise in teaching, mentoring, and technical project execution

Software Developer at Incroyable Web Solutions Private Limited, Feb 2024 - Jan 2025 · 1 yr, Lucknow, Uttar Pradesh, India, Developed a business-specific data product that reduced manual reporting by 40%. Created and cleaned datasets using Python for 3+ analytics workflows. Supported end-to-end SDLC, from design to production deployment.

Social Media Marketing Intern at Womenite, Jun 2021 - Jul 2021 · 2 mos, India, Drove online brand presence by creating impactful digital content, designing high-engagement campaigns, and amplifying Womenite’s mission across Facebook, Instagram, Twitter & LinkedIn. Actively supported webinars and awareness initiatives to boost community reach and engagement.

Education

Master of Computer Applications - MCA, Computer application, GLA University

Bachelor's of computer Application, Information Technology, GLA University