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Skills & Tools: • Programming & Query Languages: SQL, Python • Databases & Storage: ClickHouse, Data Lake, Log-structured Merge-Tree (LSM Tree), PostgreSQL, Data Warehousing (DWH) • Data Modeling: Star Schema, Snowflake Schema, Anchor Modeling, Data Vault • ETL/ELT & Data Pipelines: DBT, Apache NiFi, Apache Airflow, Apache Spark • Data Visualization: Superset, Power BI • Data Quality & Governance: Data Quality Concepts & Metrics, Data Quality Instruments, Data Catalog, DataHub, OpenMetadata • Additional: Strong understanding of ETL/ELT processes, data pipeline orchestration, and data architecture principles Example for Experience Section: • Built and optimized ETL/ELT pipelines using Apache NiFi, DBT, and advanced SQL queries, ensuring efficient data flows into ClickHouse and Data Lakes. • Automated data processing and transformation tasks using Python, enhancing performance and scalability. • Designed scalable data models with Star, Snowflake, Anchor Modeling, and Data Vault techniques for robust DWH solutions. • Automated workflows with Apache Airflow and integrated real-time data processing using Apache Spark. • Developed interactive dashboards in Superset and Power BI for actionable business insights. • Implemented data quality checks using advanced Data Quality Instruments, ensuring data accuracy and consistency across platforms. • Managed metadata and data governance through DataHub and OpenMetadata, enhancing data discoverability and compliance.
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