Anuva Bera

Background

About Anuva Bera

Experienced Data Architect | 16+ Years in Data Warehousing & Enterprise Data Solutions With over 16 years of extensive experience in data warehousing and enterprise data architecture, I specialize in designing and implementing scalable, high-performance data solutions across multiple industries, including Banking, Pharmaceuticals, Life Sciences, and Insurance. My expertise spans the entire data lifecycle—from data integration and transformation to advanced analytics and business intelligence—ensuring organizations can derive actionable insights from complex, high-volume data environments. Throughout my career, I have played a pivotal role in building, optimizing, and modernizing data warehouses on both on-premise and cloud platforms, with a deep focus on tools like Snowflake, Databricks, DBT, Informatica, AWS, and Oracle. I have successfully led large-scale projects that span end-to-end data architecture, from requirements gathering to architecture design, implementation, and optimization. Core Areas of Expertise: Data Warehousing & Architecture: Deep experience in data warehousing design, dimensional modeling, ETL processes, and performance optimization. I have a strong track record of developing robust data architectures that support complex analytics and reporting needs. Cloud & Big Data Solutions: Expertise in architecting cloud-native data warehouses and data lakes on AWS and Snowflake, integrating with modern data tools such as Databricks and DBT for real-time analytics and machine learning applications. Data Integration & ETL: Extensive experience with Informatica and DBT for seamless data integration and transformation, optimizing data flows and ensuring accurate, timely reporting. Industry-Specific Solutions: Proven ability to adapt and implement data architectures in highly regulated industries like banking, pharma, life sciences, and insurance, ensuring compliance with industry standards and governance frameworks. Performance & Scalability: Focused on building high-performance, scalable solutions that can handle large data volumes while optimizing storage and processing costs.