Pradeep C

Data Analyst

Bangalore 0+ yrs exp 81 · Excellent

About

Data Analyst with professional experience building ETL and ELT pipelines for insurance data warehouses using Python, SQL, and dbt Core, with expertise in data transformation, validation, and analytics-ready datasets. Experienced in MCP tool integration for AI chatbot applications.

Skills & Expertise (37)

ELT Advanced

9.1/10

Years Exp

NumPy Advanced

9.1/10

Years Exp

Pandas Advanced

9.1/10

Years Exp

Python Advanced

9.1/10

Years Exp

Query Optimization Advanced

9.1/10

Years Exp

Window Functions Advanced

9.1/10

Years Exp

Aggregations Advanced

9.1/10

Years Exp

Subqueries Advanced

9.1/10

Years Exp

CTEs Advanced

9.1/10

Years Exp

Joins Advanced

9.1/10

Years Exp

Postgresql Advanced

9.1/10

Years Exp

SQL Advanced

9.1/10

Years Exp

Snowflake Advanced

9.1/10

Years Exp

Source-to-Target Mapping Advanced

9.1/10

Years Exp

Dimensional Modeling Advanced

9.1/10

Years Exp

Data Warehousing Advanced

9.1/10

Years Exp

Data Integration Advanced

9.1/10

Years Exp

Data Validation Advanced

9.1/10

Years Exp

Data Transformation Advanced

9.1/10

Years Exp

Data Pipelines Advanced

9.1/10

Years Exp

ETL Advanced

9.1/10

Years Exp

VS Code Intermediate

8.4/10

Years Exp

Dashboard Development Intermediate

8.4/10

Years Exp

Power BI Intermediate

8.4/10

Years Exp

Apache Airflow Intermediate

8.4/10

Years Exp

IAM Intermediate

8.4/10

Years Exp

Amazon S3 Intermediate

8.4/10

Years Exp

AWS Intermediate

8.4/10

Years Exp

SQLAlchemy Intermediate

8.4/10

Years Exp

DBeaver Intermediate

8.4/10

Years Exp

Git Intermediate

8.4/10

Years Exp

GitHub Intermediate

8.4/10

Years Exp

MCP Intermediate

7.5/10

Years Exp

LLMs Intermediate

7.5/10

Years Exp

AI chatbots Intermediate

7.5/10

Years Exp

Prompt Engineering Intermediate

7.5/10

Years Exp

Tool Calling Intermediate

7.5/10

Years Exp

Work Experience

Data Analyst

DataCaffe.ai

Feb 2026 - Present

Developed ETL & ELT pipelines using Python and SQL to extract, transform, validate, and load insurance data into a structured data warehouse. Worked across Landing, Staging, Semantic, and Reporting layers, transforming source data into analytics-ready datasets for reporting and business analysis. Created source-to-target mappings, implemented data transformations and validations, and developed fact and dimension tables with dbt Core to support reporting across policy, claims, billing, customer, and product domains. Contributed to the development of the Breww Assist AI chatbot, working with MCP-based tool integration and AI tool-calling workflows.