Senior Analytics Engineer / Data Analyst

A Senior Analytics Engineer / Data Analyst with 9+ years of experience building enterprise-grade analytics and data platforms across procurement, finance, risk, and operational domains.

I specialize in turning complex, multi-source data into reliable, analytics-ready datasets that support recurring business decisions, risk reviews, and AI/ML use cases. My work spans the full data lifecycle—from ingestion and transformation to modeling, validation, and consumption—within modern cloud data ecosystems.

I designed and orchestrated ETL/ELT pipelines using Snowflake, Databricks, AWS, PySpark, SQL, and Python, supporting enterprise analytics, BI platforms, and ML-ready datasets. I’ve led initiatives that reduced 450+ manual processing hours, improved data reliability, and enabled standardized reporting across multiple business teams.

Across my career, I’ve:

• Built and optimized cloud data pipelines across Snowflake, Databricks, AWS Glue, Matillion, and Redshift

• Designed analytics-ready and dimensional data models for enterprise reporting

• Implemented data validation, quality checks, and monitoring to prevent recurring data issues

• Prepared feature-ready datasets for applied machine learning, risk scoring, and pattern detection

• Integrated data across internal and third-party systems using REST APIs, OAuth, and JWT

• Partnered closely with business, risk, and IT stakeholders to translate requirements into scalable data solutions

My background spans both hands-on engineering and business-facing analytics, allowing me to bridge technical execution with real-world decision-making. I’m particularly interested in work at the intersection of analytics engineering, cloud data platforms, and AI/ML-enabled analytics.

Core skills:

SQL | Python | PySpark | Snowflake | Databricks | AWS | ETL/ELT | Data Modeling | Applied Machine Learning | Power BI | Tableau 

Awards

Certifications

Get in touch at bassetti.chandrasheker@gmail.com