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Data Engineer with 3+ years in AWS, Azure, Python & PySpark
Data Engineer with 3.2 years of experience in designing, building, and optimizing scalable data pipelines across AWS and Azure cloud platforms. Strong expertise in ETL/ELT workflows, big data processing, data warehousing, and real-time streaming. Proficient in Python, PySpark, SQL, and Apache Spark, with hands-on experience in Azure Databricks, Azure Data Factory, ADLS Gen2, Azure Synapse, Azure SQL DB, AWS Glue, Redshift, Kinesis, Athena and EMR. Skilled in building data lakes, implementing data governance, and optimizing performance for data-driven decision-making. Over 3.2 years of combined experience in Azure and Aws Data Engineering. Expertise on Azure cloud platform tools like Azure Data Factory, Azure Databricks, ADLS Gen2, Azure Synapse, Azure SQL DB, Azure Key Vault, Logic Apps,Data Lake. Expertise on AWS cloud platform tools like AWS S3, AWS Data Lake, AWS RDS, AWS Glue, AWS EMR, AWS Athena, AWS Lambda, AWS Redshift, AWS Kinesis, AWS DynamoDB, AWS DMS, AWS Step Functions, AWS Batch, Databricks on AWS. Experiences on tools like Git, GitHub, Docker, PySpark, Azure CI/CD, Python, SQL, Power BI, Apache Spark. Utilizing AWS services for ETL pipelines, data warehousing, and data processing, leveraging Python and PySpark. Extensive experience in leveraging Azure Data Bricks for large-scale data processing, analytics. Demonstrated proficiency in orchestrating complex data workflows and ETL processes using Azure Data Factory pipelines. Proficient in building and tuning Apache Spark clusters within Azure Data Bricks for high-performance data processing and analysis. Expertise in integrating diverse data sources including on-premises and cloud-based systems for seamless data movement and transformation. Proficient in building and tuning Apache Spark clusters within Azure Data Bricks for high-performance data processing and analysis Developing serverless workflows and event-driven architectures using Azure Logic Apps and Azure Functions. Automated routine data proces
Visvesvaraya Technological University
Bachelor of Engineering · E.C
N/A – June 30, 2024
Resource Pro Operational Solutions Pvt. Ltd
Data Engineer
April 1, 2025 – Present
India
Sixth Energy Technologies Pvt Ltd
Data Engineer
November 1, 2024 – March 1, 2025
India
UNIZEN TECHNOLOGIES PRIVATE LIMITED
Data Engineer
January 1, 2023 – October 1, 2024
India
Cultural Fit Analysis
The candidate has experience across multiple companies and diverse projects involving both AWS and Azure cloud environments, demonstrating adaptability and a broad skill set. The roles consistently align with Data Engineer responsibilities, indicating a clear career path and commitment to the domain. The breadth of technologies and project types suggests a willingness to learn and adapt to different technical stacks and business requirements.
Soft Skills & Operational Fit
The candidate's resume highlights collaboration with senior team members, documentation of technical processes, and streamlining complex workflows, indicating good operational fit and teamwork potential. The focus on automating routine tasks and optimizing query performance suggests a proactive approach to efficiency.