Tanishq Hooda

• Implemented data ingestion from various sources (APIs, databases) to Snowflake using Airflow and Prefect pipelines
• Executed data transformations efficiently with dbt
• Built an automated data quality tool with Great Expectations and a database table comparer using MD5 hashing
• Ingested real-time data into Snowflake using a streamlined pipeline with Kafka
• Developed a Power BI dashboard for downstream consumers, utilizing Snowflake data
• Created Snowflake and Airflow CICD using Github Actions
• Automated Snowflake data masking using Ataccama API and
• Snowflake masking policies automated using Python scripts.

• Migrated COBOL processes to Python, driving tech stack evolution and expediting data delivery
• Created Flask APIs for enhanced functionality
• Optimized financial data processing with Pandas, NumPy, etc., resulting in more efficient reporting for end-users
• Enhanced data quality through rigorous validation using ICEDQ and other tools
• Created Oracle Stored procedures to backfill processed data to legacy tables.

• Developed a comprehensive Django application tailored for portfolio managers, streamlining and enhancing their portfolio management capabilities.

Engineered a machine learning and data analysis solution with an integrated dashboard for malware detection in files, significantly enhancing cybersecurity measures. Achieved a remarkable 72% reduction in false alerts, streamlining manual investigation processes.

Developed a Python-based image processing module for object detection and image quality analysis, utilized to classify and prioritize images for hotel listings on the website, optimizing user experience.