Consultant (BIA)

Built automated data ingestion workflows using Python, Fivetran, and Funnel, integrating Git for version control and collaborative code reviews.

Developed monitoring solutions with SQL, reducing manual effort by 30%.

Developed AI agents to automate manual tasks, significantly reducing human error and time.

Performed data validation, troubleshooting, and root cause analysis using AWS Glue, S3, and Athena.

Designed Python-based crawlers and ingestion scripts to scale multi-source data collection.

Streamlined workflows by creating checklists and documenting processes using Jira and Confluence.

Managed client communications in a fast-paced, zero-error environment, ensuring clarity and efficiency.

Proficient in ETL and orchestration tools, including AWS (Glue, S3, Athena), with familiarity in DAG-based orchestration and structured data models.

Designed and implemented data models and ELT workflows using SQL and dbt to power dashboards.

Documented end-to-end processes and applied QA practices to ensure data accuracy and consistency.

Proposed new metrics and segmentation logic, enhancing client reporting capabilities.

Validated multi-platform data (Shopify, Google Ads, Meta, Microsoft Ads, Snapchat, Klaviyo) with 99% accuracy.

Optimized Tableau dashboards and data models, reducing load times by up to 40%.

Delivered data-driven KPI recommendations, driving a 10–15% improvement in client metrics.