Abhishek Bakshi

Nimbus (formerly Modern Data Platform) – a strategic initiative to modernize Brit's enterprise data infrastructure by migrating from Azure Databricks to Azure Synapse, and onboarding new data domains.
- Pioneered the Data QA function, starting as the first Data QA Engineer on the program, and promoted to Senior based on delivery impact.
- Designed and implemented SQL-based stored procedures for domain-wise data validation, ensuring robust quality checks across the platform.
- Built the Data Reconciliation Framework (DRF) to automatically reconcile source-to-target data daily, identifying mismatches, and driving timely remediation.
- Developed the Daily Monitor system to track DRF volumes, flag anomalies, and enhance proactive issue detection.
- Led QA efforts for the Prebind domain, validating the ingestion and transformation of unsuccessful insurance quotes to support underwriter decision-making, and improve conversion rates.
- Performed comprehensive functional and data quality testing across multiple data pipelines, ensuring compliance with business rules and technical specifications.
- Actively collaborated with developers, data engineers, and product owners to refine processes, improve test coverage, and shorten defect resolution cycles.

- Trained junior QA engineers in best practices and cutting-edge testing technologies, enhancing team capabilities.

- Kept scripts and test cases updated with current requirements.

• Project Description: Web-based reporting tool, Provider Care Management Solutions (PCMS), can help providers identify opportunities to better manage their patients' health on population level, engage patients who can benefit from care management and care planning and help to improve likelihood their patients reaching optimal state of health.
• Ensured quality deliverables in over at least 20 Major releases and other several minor releases across tenure.
• Played crucial role in cloud migration of project where entire on premise system moved to cloud on AWS.
• As part of cloud migration, self trained and worked hands-on tools like Snowflake, Hive, AWS (Step function, S3, Glue and Cloud watch) while also working on traditional tools like Db2(IBM Data Studio), Teradata, Informatica, CTM, Unix etc.
• Closely worked with Developers on planning and implementation of migration while ensuring existing setup remains unaffected and continues usual functional/procedural changes.
• Many a time, ensured deliveries are not impacted due to data unavailability by Mocking up data through SQL queries and ensured unobstructed progress of work.
• Reviewed schedules and suggested key improvements to develop leaner and more cost effective methods.
• Aligned production operations to meet higher standards and maximize savings in time.
• Generated detailed reports covering analysis of key data and outlining potential solutions.
• Contributed to root cause analysis to determine core reason for failures and errors.
• Supported quality team members during corrective action updates.
• Been part of implementing many new functionalities across product while making significant contributions in controlling defect leakages and delivering quality product.
• Gathered requirements, defined scopes, allocated resources and established schedules meeting or exceeding project demands.
• Participated in employee performance reviews and offered suggestions to management.
• Built strong rapport with team members, management and clients to facilitate efficiency and productivity.

• Been part of 3 projects over a tenure of 3 years of which the last was with an American Health Insurance Conglomerate.
• Over the tenure, worked extensively on Data Quality Analysis while ensuring smooth delivery of development items and maintaining data for both backend and frontend analysis/testing.
• Majorly worked on DB2, Teradata and Hive data based and also on ETL tools like Informatica and Shell scripting.
• Analyzed and ensured quality Scheduling of data loads while using tools like CTM and WLM.
• Many a time, ensured deliveries are not impacted due to data unavailability by Mocking up data through SQL queries and ensured unobstructed progress of work.
• Over the tenure, reported and averted major defects contributing towards better code delivery to production.
• Gathered requirements, defined scopes, allocated resources and established schedules meeting or exceeding project demands.
• Investigated and corrected or escalated project problems.
• Closely collaborated with project members to identify and quickly address problems.
• Identified innovative and automated approaches to routine tasks, making suggestions that were widely received.

• Provided primary customer support to internal and external customers in fast-paced environment.
• Responded to customer requests for products, services and company information.
• Offered advice and assistance to customers, paying attention to special needs or wants.
• Answered customer telephone calls promptly to avoid on-hold wait times.
• Consulted with outside parties to resolve discrepancies and create effective solutions.
• Communicated with vendors regarding back order availability, future inventory and special orders.
• Cultivated customer loyalty, promoted repeat customers and improved sales.