About Me
I’m a Data Engineer with 5+ years of hands-on experience architecting and operating scalable ETL pipelines on AWS, Snowflake, Python, and SQL. I specialize in turning raw data into reliable, automated workflows and interactive dashboards that empower teams to make faster, smarter decisions. By building data quality frameworks and end-to-end automation, I’ve reduced manual reporting effort by up to 75%, boosted data processing speeds by 60%, and maintained 99.9% accuracy. I’m currently extending my skill set with PyTorch-powered ML infrastructure to embed predictive analytics into robust data platforms.
Top Skills for Data Engineer & BI
Other Skills
Experience
- Built AWS pipelines, reducing updates by 75% and speeding hiring by 30%.
- Implemented ETL pipelines using AWS and Snowflake, improving data processing efficiency by 40%
- Developed automated tracking systems integrating n8n workflows with Python scripts
- Created real-time dashboards in Microsoft Power BI for recruitment and performance monitoring
- Optimized database queries in PostgreSQL, reducing response time by 50%
- Established data quality frameworks ensuring 99.9% data accuracy
- Led cross-functional teams to deliver analytics solutions improving hiring and training decisions
- Trained stakeholders on Power BI dashboards, achieving 100% adoption across departments
- Integrated Slack/email alerts in n8n for real-time operational tracking
- Developed version-controlled dbt models for scalable data transformations
- Architected data pipelines processing daily records using Python and SQL
- Built automated reporting systems using Power BI and Looker Studio, reducing manual effort by 60%
- Integrated multiple data sources using RESTful APIs and custom ETL processes
- Implemented data validation checks reducing error rates by 85%
- Migrated legacy Excel-based MIS to automated cloud dashboards
- Conducted A/B testing on engagement data, improving lead conversion by 13%
- Collaborated with marketing/product teams to develop performance-tracking KPIs
- Optimized API integrations for faster data refresh cycles
- Achieved 95% CSAT for Amazon Payments by resolving issues within agreed SLAs.
- Analyzed transaction data to identify root causes, reducing payment errors by 15%.
- Built a self-service support portal that cut inbound tickets by 20%.
- Mentored & trained 5 new hires on best practices & empathetic communication.
Projects
Automated Sales CRM
Google Sheets/Form CRM with Apps Script; improved lead follow-up and conversion by 25%.
View CodeLead Data Analysis
Complex SQL & Metabase dashboards drove a 20% lift in lead-to-signup conversions.
View DashboardsReal-Time Lead Processing
Apps Script + XLOOKUP automation slashed lead distribution overhead by 40%.
View Demo