Ashwin Srinath Sureshkumar Email & Phone Number

Toronto, ON

• Leading the architecture and establishment of an Enterprise Data Lake to accommodate diverse use cases, including Analytics, processing, storage, and Reporting of large-scale, dynamically evolving data.
• Ensuring the integrity and quality of reference data within the source by executing operations such as cleaning, transformation, and maintenance in a relational environment, collaborating closely with stakeholders and.
• Devising and implementing a Security Framework to grant fine-grained access to objects within AWS S3 utilizing AWS Lambda and DynamoDB.
• Designing and managing AWS CDK stacks for deploying serverless applications, ensuring optimal resource allocation.
• Leveraging AWS Glue for ETL processes, supporting analytics, processing, storage, and reporting of large-scale, dynamically evolving data.
• Utilizing Athena queries for ad-hoc analysis on stored data, facilitating streamlined reporting.

Bengaluru, Karnataka, India

• Managed, configured, and scheduled resources across the cluster utilizing Azure Kubernetes Service.
• Worked extensively on Azure Data Factory, encompassing data transformations, Integration Runtimes, Azure Key Vaults, Triggers, and migrated data factory pipelines to higher environments using ARM Templates.
• Monitored Spark cluster using Log Analytics and Ambari Web UI, transitioned log storage from Cassandra to Azure SQL Data Warehouse for improved query performance.
• Utilized Azure Data Factory to integrate on-premises data sources (such as MySQL and Cassandra) and cloud data sources (Blob storage and Azure SQL DB), applied transformations, and loaded data into Azure Synapse.
• Created dashboards and visualizations for data analysis, with a focus on Microsoft products like SQL Server Reporting Services (SSRS) and Power BI.
• Demonstrated proficiency in utilizing R for data analysis and statistical modeling in cloud-based environments, enriching the data engineering toolkit and facilitating advanced analytics capabilities.

Bengaluru, Karnataka, India

• Spearheaded requirements gathering and translated them into detailed technical specifications.
• Implemented seamless and efficient data flow by ingesting data into HDFS using SpringXD.
• Developed MapReduce jobs utilizing Mapper, Reducer, Record Reader, and Input Formatter APIs.
• Leveraged HDFS extensively for storing and managing large-scale datasets.
• Collaborated with Hive to create External and Internal tables, conduct data analysis, and validate data using HiveQL.
• Streamlined data loading from HDFS by formulating Hive Load Queries.