Chris James

Data Engineer with experience in SCM analytics, designing and building scalable ETL pipelines and data warehouse solutions. Skilled in data modeling, database design, and large-scale data integration using Hive, Spark, Python, and ETL frameworks. Experienced in Qlik Sense dashboard development for BI and data reconciliation. Led cross-functional teams in Agile/Scrum environments, mentored juniors, and ensured timely delivery of EAP projects with high-quality data solutions.

Design and develop ETL for different finance modules using Oracle PLSQL and ODI. Experience in Data warehouse requirement analysis, technical documentation(in Confluence), design, development of code using ETL(PLSQL)/ODI, unit testing of code, review and migration of the code to production using Agile methodology. Analyze existing data and ETL and migrate to cloud using ODI. Performance improvements. Advanced PLSQL programming

• Led the team to rebuild an ETL for AT&T to feed the digital marketing insight dashboards. • Migrated and developed ETL from Oracle to Netezza using standard design methodologies for implementing complex business rules using PLSQL/SQL and NZSQL/NZPLSQL • Automated various ETL/ Client report delivery process and created different database objects and different complex queries in Oracle and reviewed codes. • Proactively optimized queries by performance tuning in Oracle and Netezza

• Gathered requirements from onsite and prepared design documentation for different policy. • Designed and developed different database objects for DWH. • Performed unit testing, migration and validation of data for policies and proactively fixed the bugs. • Presented on different technical (RDBMS) and non-technical topics.