Charan Pittala

Hyderabad, Telangana 0+ yrs exp 70 · Very Good

About

MCA Graduate with hands-on internship experience in Snowflake, SQL, and Python, including building ETL pipelines that reduced processing latency by 25% and optimizing queries to improve retrieval speed across reporting workflows. Skilled in Power BI dashboard development, SQL querying, Python-based data processing, and Excel, with a track record of transforming raw datasets into clear, actionable insights that support data-driven decision-making.

Skills & Expertise (33)

Data Transformation Advanced

8.0/10

Years Exp

ETL Pipelines Advanced

8.0/10

Years Exp

SQL Advanced

8.0/10

Years Exp

Query Optimization Advanced

8.0/10

Years Exp

Pandas Intermediate

7.5/10

Years Exp

Data Warehousing Intermediate

7.5/10

Years Exp

Snowflake Intermediate

7.5/10

Years Exp

Joins Intermediate

7.5/10

Years Exp

Python Intermediate

7.5/10

Years Exp

Aggregations Intermediate

7.0/10

Years Exp

NumPy Intermediate

7.0/10

Years Exp

Data Modeling Intermediate

7.0/10

Years Exp

Data Quality Intermediate

7.0/10

Years Exp

validation Intermediate

7.0/10

Years Exp

MS SQL Server Intermediate

7.0/10

Years Exp

MySql Intermediate

7.0/10

Years Exp

Subqueries Intermediate

6.5/10

Years Exp

GitHub Intermediate

6.0/10

Pivot Tables Intermediate

6.0/10

Years Exp

Microsoft Excel Intermediate

6.0/10

Years Exp

Git Intermediate

6.0/10

Power BI Intermediate

6.0/10

Web Scraping Intermediate

6.0/10

CTEs Intermediate

6.0/10

Years Exp

BeautifulSoup Intermediate

5.5/10

Requests Intermediate

5.5/10

XLOOKUP Intermediate

5.5/10

Years Exp

Dashboards Intermediate

5.5/10

Django Intermediate

5.5/10

Power Query Intermediate

5.0/10

DAX Intermediate

5.0/10

HTML Intermediate

5.0/10

Data Processing

Work Experience

Data Engineer Intern

Boolean Data Pvt. Ltd.

Feb 2026 - Apr 2026

Designed and maintained end-to-end ETL pipelines in Snowflake to ingest, transform, and load structured datasets from multiple sources, cutting data processing time by 25%. Optimized 10+ complex SQL queries using indexing, query restructuring, and best practices, significantly improving data retrieval speed for reporting pipelines. Processed and validated large-scale datasets to ensure data accuracy, completeness, and consistency, collaborating with cross-functional teams to deliver timely reporting solutions.