Akash R A

Experience

• 

  ABB

  Aug 2021 - Nov 2021

  Global IS Intern

  Worked on data integration between ServiceNow and Snowflake to facilitate effective data-drivenmanagement reporting practices.

• 

  EY

  Sept 2022 - now

  • Finance Data Lake and MDM: - Provide technical solutions to business SME/data owners to support data strategy and data management for Financial and Management Reporting. - Perform exploratory data analysis on various big data objects to identify trends and enhance data.- Perform data manipulation and User Acceptance Testing in the Prod and UAT environment.- Perform data mining to observe trends in the inbound/outbound data of data lake and provide solutions to the business.- Develop and enhance framework for testing data quality, data integrity and reliability of master data, metadata and finance products across data lake.- Develop and maintain documentation for data quality rules, data dictionaries, and data lineage.- Applies best DataOps practices to solve data discrepancies and enhance the capabilities of data lake - Execute tasks and deliverables using agile methodologies Show less • Finance Data Lake: - Provide technical solutions to business SME/data owners to support data strategy and data management for Financial and Management Reporting.- Demonstrates a good understanding of Supply Chain and Finance domains.- Exhibits good working knowledge of large financial datasets including master data, and metadata.- Perform data manipulation and User Acceptance Testing in the Prod and UAT environment.- Perform data mining to observe trends in the inbound/outbound data of data lake and provide solutions to the business.- Explores ways to enhance data quality and reliability- Applies best DataOps practices to solve data discrepancies and enhance the capabilities of data lake - Execute tasks and deliverable using agile methodologies• Data Platform Analytics (DataOps): - Demonstrates a good working knowledge of Client Data Lake architecture, Big data technologies and tools used in the design and build of data quality.- Perform testing and validation of data quality and rules including build and schema validation to ensure data integrity during transformation flows.- Perform Source-to-target mapping along with Business rules defined in the Functional Specifications.- Build and maintain E2E Azure Data Factory pipelines to process and integrate data ensuring data quality and reliability - Provide insights for automation of DQ testing scenarios.- Coordinate with multiple stakeholders including factory scrum teams and SMEs to resolve any data quality issues ensuring UAT completion on time.- Participates and contributes ideas to improve the Data Governance strategies like WoW for Data Lake factory teams, scope for DQ automation,etc. Show less

  • Consultant - Technology Consulting (AI & Data)

    Sept 2024 - now

  • Associate Consultant - Technology Consulting (AI & Data)

    Sept 2023 - Sept 2024

  • Senior Analyst - Technology Consulting (Data & Analytics)

    Sept 2022 - Sept 2023