Sandeep Malka Email & Phone Number

United States

• Automated 80% of the tasks using SQL and Python scripts, saving the team roughly 10 hours of manual work each week.• Created and managed robust data pipelines using AWS Glue ETL, optimizing data flow and processing efficiency by 45% while ensuring seamless integration and reliability.• Applied advanced techniques to optimize data processing Using PySpark and Spark-Sql, resulting in a 45% reduction in processingTime and a 30% increase in data throughput efficiency.• Leveraged Spark to automate the data cleaning process, achieving high-performance data handling and significantly reducing processing times.• Utilized AWS services including EC2, S3, Lambda, Glue, and Athena to build scalable data processing solutions, reducing data Processing times by 50% and enhancing data accessibility and integration efficiency by 40%.• Leveraged Snowflake for seamless data storage and pipeline integration, improving data access efficiency by 40% and reducing data handling time by 30%.• Applied advanced data modeling techniques, including dimensional, physical and logical data modeling, to optimize database Structures for performance and scalability.• Orchestrated data pipelines using Apache Airflow on AWS, ensuring reliable and scalable data processing workflows that support critical business operations.• Designed and deployed interactive Tableau dashboards, enhancing data visualization and insight discovery by 40%, leading to Improved decision-making processes.

India

• Implemented ADF Pipelines to extract and transform data, optimizing ingestion into Azure Storage ADLS Gen2 in Parquet format, streamlined processing, reducing storage costs by 50% and boosting data access efficiency.• Engineered efficient data transformations using Azure Databricks and Pyspark, streamlining ETL process to meet unique requirements, realized 40% reduction in processing time, elevating data quality for enhanced analytics accuracy.• Migrated and optimized SSIS packages to Databricks, resulting in a more than 50% increase in data processing speed and a substantial reduction in infrastructure costs.• Developed robust data processing pipelines using python and spark, improving data throughput by 25% and ensuring reliable and scalable solutions.• Integrated and optimized data pipelines within Azure Synapse Analytics, enhancing the performance of data queries and enabling seamless data integration across various sources, including Azure SQL and Blob Storage.• Integrated code versioning and CI/CD pipelines with Azure DevOps, enabling faster, more reliable deployments and minimizing the risk of regressions.• Developed and optimized Power BI reports, resulting in a 45% improvement in data accessibility and user engagement while maintaining strict compliance with data governance policies.• Leveraged Kafka to handle high-volume data streams, increasing processing efficiency by 50% and enabling real-time analytics.

Hyderabad, Telangana, India

Master'S Degree, Data Science And Analytics

Bachelor'S Degree, Electronics And Communication Engineer