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Follow →Maintain and troubleshoot SQL-based ETL pipelines, write queries, and ensure data quality for a global data services provider.
Build and maintain basic ETL pipelines and assist in creating BI dashboards using SQL and Python.
Lead a team to design and deliver end-to-end data architectures, ETL pipelines, and cloud-based warehousing solutions using Python, SQL, Spark, and cloud platforms.
Design and maintain ETL pipelines and data dashboards, integrating and transforming data with SQL, Python, and BigQuery for KPI tracking and reporting.
Build and maintain ETL/ELT pipelines to consolidate payments and product data into a data warehouse, enabling reporting and business decisions like LTV and CPA tracking.
Builds modern ELT pipelines with dbt and Data Vault 2.0, migrates legacy ETL, and maintains data transformations and integrations on Kubernetes.
Builds and maintains SQL procedures, SSIS packages, and Python utilities for data pipelines, adding validation, logging, and unit tests while collaborating on performance and quality improvements.