Headline

Cloud Data Engineer | Spark • Python • SQL • Databricks • Snowflake • Azure • Power BI | 4+ Years Experience Delivering Data-Driven Business Solutions

About

I'm a dedicated Data Engineer with 4+ years of experience designing and implementing data pipelines and data-driven solutions that power business intelligence and operational efficiency. My core expertise spans Python, Spark, SQL, and Azure Cloud Services. My journey began with a strong foundation in Python and SQL, building reliable ETL pipelines with a focus on data integrity and data governance. As my skills grew, I embraced Apache Spark to process large datasets and deliver advanced analytics for diverse business needs. I bring hands-on experience with Azure Data Factory, Azure Databricks, and Azure SQL Database — giving me a deep understanding of cloud infrastructure, data orchestration, and scalable deployment strategies for seamless data integration and reliable performance. In my current role, I work closely with cross-functional teams to translate business requirements into effective data models and data strategies. I enjoy solving complex data challenges and staying current with evolving industry practices. 🛠️ Tech Stack: 🗃️ SQL • 🔀 SSIS • 🔥 PySpark • ⚡ Apache Spark • 🐘 Hadoop • 🏢 Data Warehouse • ❄️ Snowflake • ☁️ Azure Cloud • 🏭 Azure Data Factory • 🧱 Azure Databricks • 📊 Azure Synapse Analytics • 📈 Power BI. I'm always open to new opportunities and enjoy connecting with fellow tech professionals. Let's talk data engineering, cloud technologies, or potential collaborations! 🔗 LinkedIn: linkedin.com/in/gauravjagtap05 💻 GitHub: github.com/gauravjagtap05 📧 Email: Gauravjagtap0509@gmail.com

Location

Greater Nagpur Area

AI stack

claude code

codex

gemini

mcp

notion

ChatGPT

Work experience

Data Engineer at Servion Global Solutions, Oct 2021 - Present · 5 yrs, Bengaluru, Karnataka, India, Designed and deployed ETL pipelines in Data Warehousing projects, optimizing data ingestion and reducing processing latency by 20%. Built scalable PySpark workflows for data transformation, Optimization improving processing efficiency and reducing job execution time. Developed parameterized Azure Data Factory (ADF) pipelines, streamlining data movement and transformation while reducing manual intervention. Optimized complex SQL queries and stored procedures, implementing indexing strategies that improved query performance. Implemented advanced data transformations in Azure Databricks, leveraging Spark SQL and Python to clean, aggregate, and enrich raw datasets. Automated data ingestion and transformation from relational databases like Oracle and MySQL into Azure SQL, ensuring real-time data availability. Managed Azure SQL Databases, enhancing performance by optimizing storage and tuning queries to reduce execution time. Designed and maintained scalable data models, ensuring efficient querying and supporting enterprise-wide reporting and analytics needs. Integrated CI/CD pipelines in Azure DevOps, automating ETL deployments and reducing manual errors, leading to a 35% decrease in deployment failures. Worked closely with business analysts and data scientists, translating business needs into robust technical solutions that improved reporting accuracy.

Production Trainee at Newtek Electricals, May 2019 - Nov 2019 · 7 mos, Aurangabad, My Work is to Conduct day-to-day process coordination to eliminate flaws in the production process. To quality check the raw materials. Assembling the raw material to finished goods.

Education

Bachelor of Engineering - BE, Electrical engineering, G.H RAISONI COLLEGE OF ENGINEERING