Diksha Joshi

I’m a data engineer and BI professional with 3 years of experience designing large-scale ETL/ELT pipelines, architecting enterprise data warehouses, and delivering scalable data infrastructure for a Fortune 500 client. I focus on pipeline optimisation, data quality enforcement, and building self-service data platforms across diverse healthcare datasets.

In my recent role at ZS Associates India Pvt. Ltd., I re-engineered ETL workflows and Snowflake pipelines in Dataiku DSS, achieving a 40% efficiency improvement through query partitioning, transformation restructuring, and dependency optimisation. I also led end-to-end DQC by defining validation rules, running integrity checks, and resolving upstream anomalies to deliver zero-defect SLA outcomes.

I’ve built scalable SDL models in Snowflake across 8+ U.S. healthcare sources (IQVIA, Optum, Publicis) and developed Dataiku DSS ELT pipelines to ingest and transform claims, prescriber, and payer datasets—powering Tableau dashboards for treatment adoption tracking and commercial KPI reporting. I reduced ad-hoc data requests by 60% using reusable, parameterised SQL frameworks for business self-service.

I’m hands-on with automated monitoring and compliant access control, including SQL-driven threshold anomaly detection (reducing manual QC effort by 40% weekly) and row-level security with dynamic role-based access aligned to HIPAA-ready data layers. I bring stakeholder delivery and mentoring experience, supported by certifications in Snowflake, Dataiku DSS, and Tableau.