Jitesh Singh

Client : Banking (UAE)

• Lead technical team in delivering complex data engineering solutions.
• Developed and optimized complex Data pipelines using Informatica BDM/DEI, Databricks Delta Lake, and Azure Synapse, supporting scalable data architectures.
• Successfully executed projects with SCD Type 2 implementation using Hive as a target and demonstrated proficiency in data modeling and architecture design.
• Experience in unit testing, data quality testing, and ensured adherence to data integrity standards across multiple execution engines including Databricks, Hive, and native environments.
• Demonstrated expertise in SQL development and data migration processes, ensuring performance standards during legacy system transitions to modern platforms such as Hive.
• Experience in automating manual processes, increase scalability and reduce run time using Python and linux scripts.
• Developed DLT pipelines using python and SQL in Databricks

Client: Travel, USA

• Spearheaded the development of solutions and implementation strategies to address complex data integration challenges in Ivalua, as the Procurement Technical Lead for a leading USA Industrial conglomerate, by collaborating with global teams
• Achieved Ivalua L1 Foundational certification

Client : Telecommunication (South Africa)

• Conducted end-to-end risk analysis and developed revenue analytic controls for fixed line technology (metro ethernet, ADSL, Fibre, Diginet) for a leading Telecommunication company in South Africa
• Streamlined IFRS-15 implementation and performed monthly impact analysis on revenue recognition
• Developed revenue mapping and conducted risk analysis.

Client: Electronics (Japan) :

• Led the agile development of Data Lake and Data ingestion framework using AWS Redshift, S3, and Informatica Cloud (IICS) for a leading Electronics Giant in Japan
• Developed complex business intelligence rules using ETL
• Conducted detailed unit testing and produced high-quality documentation
• Obtained hands-on experience in writing AWS Lambda code in Python
• Conducted data quality testing to ensure data accuracy and implemented CI/CD pipelines for enhanced delivery.

Client: Telecommunication (Norway)

• Implemented Business Intelligence solution including data migration and data integration for a leading telecommunication operator, including process review and standard operating procedure redesign, using Informatica Power Center and Toad/Oracle SQL
• Led efforts to maintain data accuracy and quality through thorough analysis, aiding informed decision-making
• Developed and improved ETL processes using Informatica PowerCenter and Oracle for efficient data handling in the warehouse
• Collaborated with teams to translate business needs into technical plans, ensuring smooth ETL operations
• Implemented analytical solutions for a large insurance sector by designing, developing, and implementing a central Data Warehouse system using Informatica Big Data Management, Hive, SQL Server, and Informatica IICS