Data Engineering | Python | SQL | Snowflake | AWS | AI & Analytics | 10+ Years of Experience I help businesses design, build, and optimize modern data platforms that transform raw data into reliable, scalable, and actionable insights. With over 10 years of experience across Capital Markets, Banking, Insurance, and Regulatory Technology, I have worked with global organizations including Nasdaq, JPMorgan Chase, LTI, Sapient, and Conduent. My expertise spans end-to-end data engineering, cloud migrations, ETL/ELT pipelines, analytics engineering, and AI-powered data solutions. Holding an MBA from a prestigious institution and a Master's in Data Science, I ensure my clients benefit from innovative approaches and deep industry knowledge. If you need a partner who can elevate your data strategy and architecture, let's discuss how I can contribute to your success.

About Me: Senior Analytics Engineer with 6+ years building scalable data infrastructure for startups and enterprises. I specialize in end-to-end data ownership: from raw data ingestion through production BI, using dbt, BigQuery, Snowflake, and Looker. What I deliver: Clean, production-grade data models that your team actually uses. I build dimensional models in dbt, implement data governance frameworks, optimize warehouse performance, and mentor engineers on SQL and analytics best practices. At my current role, I've reduced query costs by 15%, debugged complex pipeline issues, and enabled non-technical stakeholders to make faster, data-driven decisions. My approach: I own problems end-to-end. I translate messy business requirements into well-structured data architecture, navigate cross-functional complexity, and establish standards that scale. I use modern tools (dbt, Airflow, Claude Code) to work efficiently and push back on solutions that won't hold up as you grow. I'm best for: - Building data infrastructure from scratch or inheriting broken pipelines and fixing them - Mentoring teams on dbt, SQL optimization, and data governance - Translating business needs into scalable data solutions - Working autonomously with minimal supervision on high-ownership projects Technical stack: dbt, BigQuery, Snowflake, Airflow, Python, SQL, Looker, Power BI, GCP Based in NYC. Available for contract, consulting, or full-time roles.