Akanksha Singh

Client: ABN AMRO, The Netherlands

Role : Business developer.

• Designed and implemented structured data migration strategies for moving legacy system data into modern platforms
• Mapped source-to-target data requirements across multiple systems, translating business needs into clear technical specifications.
• Identified and resolved data gaps and quality issues, defining business rules for cleansing, validation, and enrichment to improve trust in migrated data.
• Collaborated with teams to align API capabilities, enabling seamless integration between diverse source systems and nCino as the target.
• Acted as a liaison between technical teams and business stakeholders, translating complex API workflows into clear business value.

Skills : Data Migration & Mapping (ETL/ELT), Business Rules Definition, Cross-functional Collaboration, Source/Target System Analysis, Data validation, SQL, API.

• Led multiple end-to-end data projects, from requirement gathering and architecture design to development, monitoring, testing, and user training.
• Designed and implemented a reusable ETL framework to integrate data from different sources, supporting the dunning process for automated collections and follow-ups.
• Developed and implemented data strategy to enhance data-driven decision-making.
• Migrated existing legacy data warehouses to Snowflake, improving performance and scalability.
• Automated daily ingestion of input files from S3 to Snowflake using Snowpipes, applied transformation logic, and delivered reports in CSV format back to S3.
• Successfully delivered POCs and stakeholder demos to showcase data engineering solutions and validate business value.
• Led and mentored a team of 4 engineers to design and develop scalable, business-focused solutions.
• Tech Stack: PySpark, Snowflake, AWS (Glue, Lambda, S3, athena, aurora), JIRA, Git

• Developed Python automation scripts to validate web application functionality pre- and post-migration, reducing manual data analysis effort by 75%
• Proficient in Python, with hands-on experience across all phases of the SDLC and working knowledge of Agile development practices
• Analyzed and validated datasets using SQL for reporting and quality checks
• Tech Stack: Python, AWS, SQL