
Kalpit Joshi
@kalpitjoshi
I build Snowflake, DBT and AWS lakehouse platforms that modernize enterprise data, reduce costs, and enable AI using Data Modeling techniques.
What I'm looking for
At ISPL, I own the architecture and technical direction for an enterprise Snowflake Lakehouse platform on AWS, integrating DBT, Airflow, Glue, Lambda, and S3 for reporting and operational analytics.
I build metadata-driven ETL/ELT frameworks processing 20TB per day and use Snowflake Cortex AI, LLMs, RAG, and Agentic AI to automate metadata discovery, documentation, and pipeline troubleshooting.
Previously at Encora, I architected more than 200 Snowflake ELT pipelines for investment banking and capital-markets clients, designed Data Vault 2.0 models for auditable reporting, and led 10 engineers as technical authority. At Jeavio, I migrated 220TB of legacy workloads to Snowflake on AWS and improved reporting SLAs by 70% through reusable DBT frameworks.
Across healthcare, pharma, banking, payments, telecom, and capital markets, I design governed data foundations, tune performance, and mentor engineers. I bring 15+ years of hands-on experience in data modeling, cloud modernization, and scalable batch and streaming platforms.
Experience
Work history, roles, and key accomplishments
Staff Data Engineer
ISPL
Mar 2026 - Present (6 months)
Owns end-to-end architecture for enterprise Snowflake Lakehouse platform on AWS, integrating DBT, Airflow, Glue, Lambda, and S3. Builds metadata-driven ETL/ELT frameworks processing 20TB/day and applies Snowflake Cortex AI for automation.
Technical Lead – Data Engineering
Encora
Jul 2024 - Mar 2026 (1 year 8 months)
Architected 200+ Snowflake ELT pipelines using DBT, Airflow, and AWS for Investment Banking clients. Designed Data Vault 2.0 models and led a team of 10 engineers, establishing governance practices.
Senior Software Engineer – Data
Jeavio
Oct 2021 - Jul 2024 (2 years 9 months)
Designed Snowflake-based enterprise data warehouses using Kimball dimensional modeling. Architected metadata-driven ETL/ELT pipelines with DBT, Airflow, ADF, Databricks, and Python, and led migration of 220TB legacy workloads to Snowflake.
Senior Member Technical Staff – 2
Model N
Dec 2015 - Sep 2021 (5 years 9 months)
Designed scalable relational and dimensional data models for pricing analytics and revenue optimization. Built PySpark ETL workflows and delivered high-performance SQL solutions for large transactional reporting.
Data Engineer
SunGard
Mar 2015 - Nov 2015 (8 months)
Provided SQL-based data integration and enterprise data warehouse/ETL solutions for global Capital Markets clients, focusing on securities processing and reporting.
Data Engineer
Amdocs
Sep 2010 - Mar 2015 (4 years 6 months)
Delivered SQL-based data integration and enterprise data warehouse/ETL solutions for global Telecom clients, focusing on billing and customer analytics reporting.
Education
Degrees, certifications, and relevant coursework
Maharaja Sayajirao University of Vadodara
Bachelor of Engineering, Computer Science
2006 - 2010
Bachelor of Engineering in Computer Science from Maharaja Sayajirao University of Vadodara, completed in 2010.
Tech stack
Software and tools used professionally
Snowflake
Airbyte
Fivetran
Matillion
Apache Spark
AWS Glue
GitHub
Kubernetes
Jenkins
Pandas
PySpark
dbt
PostgreSQL
Databricks
Terraform
Azure DevOps
Python
JSON
MLflow
Streamlit
Kafka
Oracle PL/SQL
Docker
Airflow
Sungard
erwin Data Modeler
AWS Database Migration Service
SQL
Apache Iceberg
Monte Carlo
Delta Lake
Cursor
Great Expectations
Collibra
Agentic
Unity Catalog
Factory
Availability
Location
Authorized to work in
Salary expectations
Job categories
Skills
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