About
Microsoft Certified Azure Databricks Data Engineer with 1.5+ years of experience designing scalable ETL/ELT workflows, real-time streaming architectures, and cloud-based data solutions. Specialized in leveraging Apache Kafka, PySpark, and Azure Data Factory to build robust data lakes that directly power downstream business intelligence. Skilled in Advanced Excel (pivot tables, lookups, and data modeling) alongside Power BI for enterprise-grade reporting. Proven track record of eliminating manual processing bottlenecks and delivering high-performance analytics for enterprise CRM and financial systems.
Skills & Expertise (25)
Work Experience
Data Engineer Intern
Syntova
May 2026 - Present
Engineered an end-to-end real-time data streaming pipeline utilizing Apache Kafka and Azure Event Hubs to ingest high-velocity event data with minimal latency. Executed distributed data processing using Apache Spark (PySpark) on Azure Databricks, transforming raw streams into near real-time analytics. Navigated rigorous monthly project sprints and complex data validation protocols, successfully identifying and processing edge-case data sets to ensure 100% pipeline reliability. Architected a scalable data lake on Azure Data Lake Storage Gen2 and modeled curated datasets in Azure Synapse Analytics to optimize downstream reporting consumption. Containerized all data ingestion and processing components using Docker, establishing reproducible, portable deployments across development and production environments.
Data Analyst
Bajaj Finserv
Oct 2024 - Feb 2026
Designed and automated end-to-end ETL data pipelines utilizing Azure Data Pipelines, completely eliminating manual data extraction bottlenecks and significantly improving workflow throughput. Authored and optimized complex SQL queries on Microsoft SQL Server to extract, transform, and load enterprise data across the Lead Management System (LMS) and Rewards platforms. Leveraged Advanced Excel — including Pivot Tables and VLOOKUP/INDEX-MATCH functions — to consolidate, cross-reference, and analyze large enterprise datasets, accelerating ad-hoc reporting turnaround. Deployed and administered scheduled job clusters within Azure Databricks to automate analytical workloads, ensuring the consistent delivery of recurring business reports. Developed comprehensive Power BI dashboards utilizing SFDC data, generating actionable marketing campaign performance reports that directly influenced strategic outreach optimization. Awarded the prestigious Kudos Award for exceptional on-the-job contributions and rapid delivery of data-driven insights.
Python and Machine Learning Intern
Sidhman Technologies
Feb 2024 - Jul 2024
Developed and evaluated predictive machine learning models utilizing Python, executing extensive data preprocessing and feature engineering. Collaborated with cross-functional technical teams to translate core business requirements into highly accurate, data-driven analytical solutions.
Education
Master of Computer Applications (MCA) - Savitribai Phule Pune University
2022 - 2024 · Afghanistan
Bachelor of Information Technology - Sardar Patel Mahavidyalaya, Gondwana University
2019 - 2022 · Afghanistan
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Skills (25)
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