Punit Pravin Soneji

Lead Data Engineer

Morgan Stanley•  May 2021 - Present

1. Provided strategic leadership to a team of data engineers, overseeing the design, development, and maintenance of scalable data infrastructure. 2. Collaborated with cross-functional teams to understand business requirements and translate them into comprehensive data architecture solutions. 3. Implemented scalable and performant data models, optimizing for both transactional and analytical workloads. 4. Led the migration and optimization of legacy systems to modern data platforms, resulting in improved efficiency and reduced operational costs. 5. Expert in Automating routine tasks using Python, Shell Scripts,AutoSys & Airflow. 6. Played a key role in defining and implementing data governance policies and procedures. 7. Protect Data accuracy, perform RCA of issues if any questions aroundData quality, meantime work with Data owners to increase the quality and accuracy of the source data that in turn helps the Data consumers to correctly understand & use the data. 8. Experienced in Snowflake Functions with hands on exp with Snowflake utilities, stage, and file upload features, time travel, fail-safe, procedurewriting, tasks, snow pipe, Snow SQL. 9. Automated Monitoring, Performance Optimisation, and measuring data quality & health and work towards Process Improvement. 10. Expert in Automating Manual Data Processing and Consolidation. 11. Time Management – Highly self-motivated and delivery-focused.

Lead Data Engineer

Sabre Corporation•  November 2017 - May 2021

- [ ] Database Design & Data Pipeline Development for Sabre’s NextGen Hotel Platform. - [ ] Smart and Quick Implementation of Stay Safe Indicator for Hotels which are COVID-19 Clean as per the regional government guidelines which helped the end-user to filter out lodging options and the marketer to increase the sales during the pandemic by 40%. - [ ] Data Pipeline creation using PySpark and Airflow for analysing the API Request/Response for CustomerShopping Experience Insights. - [ ] Performance Optimisation: Smarter & Faster way to Curate the 4 million lodging options with their latest attributes (like amenities, descriptive content, visuals, etc.) for a better Customer Shopping Experience. - [ ] Working as an intersection between business values, user requirements, and technical ideas to develop capabilities of the data platform such as data ingestion, storage, processing, and access. - [ ] Experienced in creating requirements artifacts like BRD, FSD, change requests, business rules, and data mapping.