Ankur is a Data Analyst with 5+ years of experience specializing in data migration, system consolidation, and ETL processes. He has a proven track record of improving data workflows and ensuring data quality through automation and effective reporting.
Led financial data migration to a new ERP platform, ensuring data consistency and minimizing downtime.
Automated data quality checks using SQL and SSIS, significantly reducing manual effort.
Developed Power BI dashboards for senior management to track key metrics and support decision-making.
Improved data loading speed by 25% and reduced manual intervention by 40%.
Reduced manual intervention by 40% in data quality checks using SQL and SSIS.
Improved data loading speed by 25% and enhanced reporting performance by streamlining ETL processes.
Led the migration of financial data to a new ERP platform, ensuring data consistency and minimizing downtime.
Overview: This project involves the comprehensive migration of financial data from an outdated legacy system to a modern ERP platform. Responsibilities: Led the migration of financial data from a legacy system to a new ERP platform, ensuring data consistency and minimizing downtime. Performed extensive data mapping and transformation, using SSIS to integrate data from multiple sources. Developed and automated Power BI dashboards for senior management to track migration progress and system performance.
Key outcomes:
Led the migration of financial data, ensuring data consistency and minimizing downtime.
Developed and automated Power BI dashboards for senior management to track migration progress and system performance.
Overview: This project focused on enhancing the integrity and accuracy of a large customer database prior to its migration. Responsibilities: Conducted detailed data profiling to identify inconsistencies and errors in a large customer database prior to migration. Automated data quality checks using SQL queries and SSIS, reducing manual intervention by 40%. Created and maintained a comprehensive reporting dashboard in Power BI to monitor data quality and profiling metrics.
Key outcomes:
Automated data quality checks, reducing manual intervention by 40%.
Identified inconsistencies and errors through detailed data profiling.
Overview: This project focused on migrating key business data from on-premise systems to a cloud-based platform. Responsibilities: Migrated key business data from on-premise systems to a cloud-based platform to improve accessibility and scalability. Designed and implemented automated data pipelines using SSIS to handle ETL operations and improve data processing efficiency. Created Power BI dashboards to track cloud migration progress and data availability, enhancing real-time decision-making.
Key outcomes:
Improved accessibility and scalability of business data through cloud migration.
Improved data processing efficiency by implementing automated data pipelines.
Key outcomes:
Improved accessibility and scalability of business data through cloud migration.
Improved data processing efficiency by implementing automated data pipelines.
Key outcomes:
Led a data cleaning initiative, removing duplicate and incorrect entries.
Consolidated data from multiple business units, ensuring better reporting accuracy.
Ankur
Data Analyst - Migration & System Consolidation