Empowering Data Professionals to Master Data Engineering and AI for Tomorrow’s Challenges
Projects
Showcasing hands-on work in data and AI.
What Is Data Engineering
Built a complex lakehouse architecture integrating Databricks and Snowflake to streamline data workflows and improve analytics speed.
GenAI Patterns
Experimented with generative AI use cases, crafting practical patterns that enhance data modeling and automate insights generation.
Experience
Over 18 years crafting data pipelines, cloud solutions, and AI models that solve real problems.
Passionate about practical, hands-on learning and sharing.
Roles
Senior Data & AI Architect
TREDENCE INC, Los Angeles, CA
2025 – Present
Architect modern data and AI platforms on Azure/AWS/GCP, leading PoCs/MVPs, production deployments, and BAU enhancements for analytics and ML use cases.
Migrate BigQuery + Airflow pipelines to Databricks SQL/Delta Lake, optimizing architecture to reduce compute and operational costs.
Implement ML lifecycle patterns with Databricks MLflow, AutoML, Feature Store, and Asset Bundles, standardizing CI/CD across dev/test/prod.
Design data models and MDM/reverse-ETL patterns, integrating Salesforce and other enterprise sources into Synapse, Snowflake, and downstream BI/CRM systems.
Lead Data & AI Solutions Architect
WEST ADVANCED TECHNOLOGIES INC, Los Angeles, CA
2024 – 2024
Designed data architectures, models, and ingestion frameworks on Azure + Databricks to support customer analytics and MDM.
Built pipelines from Dynamics, PowerApps, SharePoint, and SFTP into Synapse/SQL MI to power enterprise-grade Power BI reporting.
Sr. Data & AI Architect – Client Engineering / Pre-Sales
IBM CORPORATION, Columbus, OH
2021 – 2023
Partnered with Garage Data Scientists and Architects to shape analytics and AI/ML use cases, preparing client data and LLM-ready MVPs with automated, prompt-driven workflows.
Built cloud-native data platforms using Glue, Spark, Snowflake, DB2, Kafka, and OpenShift/containers, modernizing MDM to Match 360 and enabling real-time, governed analytics.
Sr. Data Engineer
COGNIZANT TECHNOLOGY SOLUTIONS, Columbus, OH
2013 – 2021
Engineered Spark (Scala/Python) batch and streaming pipelines on Azure Databricks, modernizing HDInsight and ADF workloads into a unified ingestion and transformation framework.
Led design and rollout of the Cummins AAI Unified Framework, collaborating with data scientists and stakeholders to deliver scalable, standards-compliant production solutions.
Developed Kettle, Informatica, SQL/T-SQL, and shell/Autosys/AppWorx automation to streamline ETL, credential rotation, and remediation, improving reliability and auditability.
Re-architected ALM and risk portal batch processing, cutting weekly load times by 30% and reducing operational toil with automated error handling and audit tooling.
BI & ETL Developer
BNY Mellon / Citi / Southern Company (via Cognizant & IBM Global Services)
Built ETL workflows, enterprise BI reporting (BIRT/OBIEE/Crystal), and Maximo customizations to support financial and utilities operations.
2007 – 2013
Meet Abhijit Das
With 18+ years in data and AI, Abhijit shares knowledge on hands-on insights and tutorials on cloud and lakehouse design.
User A
Get in
Reach out to chat about data, AI, or cloud.