Veldandi Pravardan

Data Engineer

Warangal, Telangana 0+ yrs exp 81 · Excellent

About

Data Engineer with internship experience in designing and optimizing ETL pipelines using Python and SQL. Skilled in API integration, data transformation, and building scalable data solutions using Microsoft Fabric. Experience in working with structured and unstructured data, including LLM-based workflows and real-time data processing.

Skills & Expertise (24)

SQL Intermediate

6.5/10

0.5

Years Exp

NumPy Intermediate

6.5/10

0.5

Years Exp

Pandas Intermediate

6.5/10

0.5

Years Exp

Power BI Intermediate

6.5/10

0.5

Years Exp

Python Intermediate

6.5/10

0.5

Years Exp

Data Ingestion Intermediate

6.0/10

0.5

Years Exp

API Integration Intermediate

6.0/10

0.5

Years Exp

Data Transformation Intermediate

6.0/10

0.5

Years Exp

ETL Pipelines Intermediate

6.0/10

0.5

Years Exp

Random Forest Beginner

5.5/10

0.5

Years Exp

DAX Beginner

5.5/10

0.5

Years Exp

Apache Spark Beginner

5.5/10

0.5

Years Exp

scikit-learn Beginner

5.5/10

0.5

Years Exp

Data Validation Beginner

5.5/10

0.5

Years Exp

LLM Integration Beginner

5.5/10

0.5

Years Exp

Medallion Architecture Beginner

5.0/10

0.5

Years Exp

Tkinter Beginner

5.0/10

0.5

Years Exp

HubSpot Beginner

5.0/10

0.5

Years Exp

QuickBooks Beginner

5.0/10

0.5

Years Exp

Data Modeling Beginner

5.0/10

0.5

Years Exp

Batch Processing Beginner

5.0/10

0.5

Years Exp

Azure Data Factory Beginner

5.0/10

0.5

Years Exp

Microsoft Fabric Beginner

5.0/10

0.5

Years Exp

Delta Lake

Work Experience

Data Engineer

MSR Cosmos Groups

May 2025 - Nov 2025

Designed and developed scalable ETL pipelines to process data from multiple APIs and Excel sources. Integrated APIs including QuickBooks, HubSpot, Build.com, and Buildertrend for automated data collection. Processed and transformed large datasets of Multiple excel files using Pandas and NumPy. Developed Python scripts for predictive analysis and future projections. Built an LLM-powered Microsoft Teams chatbot to convert natural language message into SQL and fetch real-time data. Improved data processing efficiency and reduced manual workload through automation. Designed and built an interactive Power BI sales dashboard, transforming raw sales data into actionable business insights for stakeholders. Built key performance indicators (KPIs) using DAX — including Total Sales, Profit Margin, Order Volume, and Customer Count — to track business performance in real time.