At DyCoders, I design and own data-heavy pipelines for advanced analytics and forecasting-ready datasets, improving data processing efficiency by 45%.
I built analytical layers and feature-ready tables for KPI modeling and trend analysis, improving reporting and insight delivery speed by 40%. I also integrated APIs, event streams, and third-party data sources to increase data completeness by 50%.
My work includes exploratory data analysis, profiling, and validation routines that help identify data quality gaps and reduce downstream pipeline failures. I partner with product, BI, and engineering teams to turn ambiguous business requirements into analytical datasets and metrics.
Before DyCoders, I developed and optimized ETL pipelines at Invocom using Talend and SQL. I also modeled fact and dimension schemas and implemented reconciliation and validation frameworks for analytical accuracy across ERP, CRM, and transactional systems.
