Available to hire
Data Engineering and Business Intelligence professional with 6+ years of experience designing, developing, and supporting enterprise-scale data platforms, ETL/ELT pipelines, cloud analytics solutions, and reporting environments. Proficient in Azure-based data engineering using Azure Data Factory, Databricks, Microsoft Fabric, Synapse Analytics, SQL Server, Delta Lake, and Azure Data Lake Storage, alongside building interactive Power BI dashboards and enterprise reporting solutions.
Experienced in gathering business requirements, optimizing data processing workflows, implementing data governance standards, and delivering scalable, high-quality data solutions that support business decision-making. Strong expertise across Data Engineering, Analytics Engineering, SQL development, data warehousing, data integration, and cloud data platforms.
Skills
Work Experience
Analytical Data Engineer at GSF Car Parts
April 1, 2023 - April 1, 2026Collaborated with stakeholders to gather business requirements and designed scalable data pipelines using Azure Data Factory, Azure Databricks, and Azure Data Lake Storage to support enterprise analytics. Developed ETL/ELT pipelines to extract data from CRM and Dataverse, transform datasets, and load curated data into Delta Lake and Azure SQL Database for reporting and analytics. Built scalable data transformation pipelines using PySpark and Spark SQL in Azure Databricks for processing structured and semi-structured data efficiently. Designed and optimized analytical data models using Azure Synapse Analytics with dedicated SQL pools and serverless SQL endpoints to improve query performance.
Implemented Microsoft Fabric dataflows and Spark notebooks for automated data ingestion, transformation, and orchestration across enterprise data platforms. Leveraged Delta Lake features such as ACID transactions, schema enforcement, schema evolution, and time travel for consistent, reliable enterp
Data Engineer at UPS
February 1, 2022 - August 1, 2022Gathered business requirements and designed hybrid cloud data architectures integrating Microsoft Azure and AWS services to support enterprise analytics. Developed orchestration pipelines using Azure Data Factory and Apache Airflow for scheduling, monitoring, and management of enterprise ETL workflows. Built scalable data transformation pipelines using Azure Databricks, PySpark, and Spark SQL to process large volumes of structured and semi-structured data.
Designed and optimized analytical workloads using Azure Synapse Analytics with dedicated SQL pools and serverless SQL endpoints. Integrated enterprise data from Azure Cosmos DB, AWS S3, and CRM systems into Azure Data Lake Storage (ADLS). Implemented Delta Lake architectures supporting incremental loads and Change Data Capture (CDC) while maintaining consistent data versions. Developed resilient REST API ingestion frameworks with automated error handling, retries, pagination handling, and monitoring. Applied data governance practice
Data Engineer at Life Insurance Corporation of India
September 1, 2020 - December 1, 2021Worked closely with business stakeholders to gather requirements and designed data integration workflows connecting SAP BW, SAP Business Objects (BO), and Azure Data Factory to support enterprise reporting and analytics. Developed ETL solutions using Azure Data Factory (ADF) and SSIS to extract data from SAP systems, transform datasets, and load data into Azure Data Lake Storage (ADLS) and Azure SQL Database.
Built scalable data processing pipelines using Azure Databricks, PySpark, and Spark SQL for processing large datasets with improved performance and reliability. Designed and maintained SSAS cubes to support multi-dimensional analysis and improve reporting performance for business users. Implemented Delta Lake architecture to manage structured and semi-structured data using ACID transactions, schema validation, and version control.
Integrated SAP data into Azure platforms using APIs and connectors to enable centralized data processing and analytics. Developed Power BI reports and
Integration Developer at Hindustan Unilever Limited
October 1, 2019 - September 1, 2020Collaborated with business stakeholders to gather reporting requirements and designed data models using SQL Server and SAP data sources. Developed ETL processes using SSIS to extract, transform, and load data from multiple source systems into centralized databases for reporting and analytics. Built operational and analytical reports using SSRS to deliver accurate and timely business information.
Designed and maintained SSAS cubes to support multidimensional reporting and improve analytical query performance. Developed interactive dashboards using Power BI and Tableau, enabling users to visualize and analyze business data effectively. Used Alteryx for data preparation and transformation to simplify complex workflows and improve data processing efficiency.
Integrated SAP data into reporting platforms to ensure data consistency and alignment with business requirements. Optimized SQL Server performance through indexing, query tuning, and efficient database design to improve system perfor
Education
Master's in Accounting at Aston University
January 11, 2030 - August 24, 2026Bachelor's in Commerce at P.B. Siddhartha College of Arts and Science
January 11, 2030 - August 24, 2026Qualifications
Microsoft Certified: Azure Data Engineer Associate (DP-203)
January 11, 2030 - August 24, 2026Microsoft Certified: Fabric Analytics Engineer Associate (DP-600)
January 11, 2030 - August 24, 2026Microsoft Certified: Power BI Data Analyst Associate (PL-300)
January 11, 2030 - August 24, 2026Industry Experience
Software & Internet, Professional Services, Financial Services
Skills
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