Summary
Overview
Work History
Education
Skills
Languages
Hobbies
Certification
Work Preference
Timeline
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Sai Venkata Sahith Reddy Kadapaiahgari

Koblenz,RP

Summary

4 years of working experience as data professional skilled in Data Engineering, Analytics, and BI, with expertise in ETL pipelines, cloud platforms, and machine learning. Proficient in Python, SQL, Tableau, AWS, Azure and Microsoft Fabric. I build scalable data solutions, optimize workflows, and deliver actionable insights. Strong track record in automating processes, improving data accessibility, and collaborating with cross-functional teams to drive data-driven decisions.

Overview

4
4
years of professional experience
3
3
Certification

Work History

BI/Data Engineer

Qualifyze
09.2023 - 09.2025
  • Built scalable ETL pipelines and managed Amazon Redshift data warehousing, improving data workflows for analytics.
  • Collaborated on ETL (Extract, Transform, Load) tasks, maintaining data integrity and verifying pipeline stability.
  • .Fine-tuned query performance and optimized database structures for faster, more accurate data retrieval and reporting.
  • Designed interactive dashboards in Tableau, reducing report generation time by 30% and accelerating decision making by 20%.
  • Collaborated with cross-functional teams to gather business requirements, design key performance indicators (KPIs), and develop customized dashboards, ensuring alignment with strategic goals and operational needs.
  • Used SQL and Python for data extraction, cleaning, and transformation. Supported ML models with TensorFlow, PyTorch, and Scikit-learn.
  • Collaborated using GitHub in cross-functional teams, improving the execution of the project by 10%.

Data Engineer

Tata Consultancy Services
09.2020 - 07.2022
  • Designed scalable Data Pipelines using Azure Data Factory, Databricks, and Synapse, optimizing workflow efficiency by 20% and reducing latency.
  • Optimized SQL queries and stored procedures for faster data extraction, cleaning, and transformation, improving query performance by 35%.
  • Leveraged Azure Cloud (ADLS, Azure SQL DB, Synapse) and Spark (PySpark, Spark SQL) for large-scale data processing.
  • Automated data workflows using Azure DevOps, reducing manual intervention and improving deployment efficiency.
  • Designed star/snowflake schemas and optimized data warehouse structures for better analytics performance.
  • Enhanced data quality by performing thorough cleaning, validation, and transformation tasks.
  • Streamlined complex workflows by breaking them down into manageable components for easier implementation and maintenance.

Education

Master of Science - Data Science

University of Koblenz
Koblenz, Germany
07.2025

Bachelor of Science - Computer Science

Rajeev Gandhi Memorial College of Engineering And Technology
03.2020

Skills

  • Languages: Python, R, SQL, Java
  • Databases: PostgreSQL, MySQL, Oracle, Amazon Redshift, Snowflake, DynamoDB, MongoDB
  • Data Processing & ETL Tools: dbt, BigQuery, Power Query, Fivetran, Apache Spark, Apache Airflow, Azure Data Factory, AWS Glue
  • Cloud Services: AWS(Redshift, S3, Glue, Lambda), Microsoft Fabric (Onelake, Lakehouse, Data Warehouse, Dataflows Gen2, PySpark, SparkSQL, KQL), Azure DevOps (CI/CD, Pipelines), AWS (Beginner)
  • BI Tools: Tableau, Power BI, Looker, Excel
  • Machine Learning Frameworks: Sklearn, Spark ML, Tensorflow
  • Libraries: Pandas, NumPy, Matplotlib, OpenCV
  • Version Control & Collaboration: Git/GitHub, Asana, JIRA, Confluence, Azure DevOps (Repos, Boards)

Languages

English
Bilingual or Proficient (C2)
German
Elementary (A2)

Hobbies

  • Passionate about playing cricket and badminton during leisure time.
  • Enthusiastic about cooking and experimenting with new recipes.

Certification

  • Microsoft Certified: Fabric Data Engineer Associate - certificate
  • DataCamp Certified Data Engineer Associate - certificate
  • Creating Dashboards and Storytelling with Tableau - certificate

Work Preference

Work Type

Full Time

Work Location

On-SiteHybrid

Important To Me

Career advancementWork-life balanceCompany Culture

Timeline

BI/Data Engineer

Qualifyze
09.2023 - 09.2025

Data Engineer

Tata Consultancy Services
09.2020 - 07.2022

Master of Science - Data Science

University of Koblenz

Bachelor of Science - Computer Science

Rajeev Gandhi Memorial College of Engineering And Technology

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Sai Venkata Sahith Reddy Kadapaiahgari