Data Solutions Architect

• Drive the design, development, and optimization of scalable data solutions that power analytics, reporting, and strategic decision-making.
• Build and optimize robust ETL/ELT pipelines for large structured datasets using SQL and Python (Pandas, PySpark).
• Analyze complex datasets to generate actionable insights for business stakeholders.
• Develop high-quality analytical datasets and reusable data models to ensure analysis-ready data.
• Perform data cleansing, transformation, and validation using advanced techniques including regular expressions.
• Write and optimize complex BigQuery queries for analytical exploration and production reporting.
• Integrate external data sources through APIs and web scraping to automate ingestion workflows.
• Design, maintain, and enhance scheduled pipelines using Apache Airflow.
• Apply big data processing, distributed computing, and performance optimization best practices.
• Architect scala...

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