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Ravindra KancharlaRK

Ravindra Kancharla

Senior Data Engineer

€600/day
Cologne, DE
8-15 years

Average response time: 1 hour

About Ravindra

About Me – Ravindra Kancharla

My name is Ravindra Kancharla, and I am an experienced Data Engineer and Data Analyst with over a decade of professional experience in designing, developing, testing, and optimizing data solutions. Throughout my career, I have worked across the Healthcare, Banking, Financial Services, and Insurance industries, helping organizations transform raw data into meaningful insights that support business growth and informed decision-making.

I currently live in Cologne, Germany, where I am building the next chapter of my professional journey. Moving to Germany represents an important milestone in my life. It reflects my willingness to embrace new challenges, adapt to different cultures, and continue growing both personally and professionally. I hold a Germany Opportunity Card, am authorized to work immediately, and am actively seeking opportunities where I can contribute my expertise while continuing to expand my technical and leadership skills.

Technology has always fascinated me because it has the power to solve complex business problems and improve people's lives. This passion led me to build a career in data engineering and analytics. Over the years, I have gained extensive experience working with SQL, Python, Azure Databricks, Snowflake, Microsoft Fabric, Power BI, Tableau, and cloud-based data platforms. I enjoy designing scalable ETL pipelines, building reliable data warehouses, automating repetitive processes, improving data quality, and ensuring that business users have access to trusted, high-quality information.

One of my strongest professional qualities is my ability to bridge the gap between business requirements and technical implementation. Rather than simply writing code, I focus on understanding business objectives, identifying data challenges, and creating solutions that deliver measurable value. Whether it involves data migration, data validation, report development, performance optimization, or cloud modernization.
  • German

    Native or bilingual

  • English

    Fluent

  • Telugu

    Native or bilingual

Can work on-site
Cologne (up to 50km)

Experience

  • OPTUM (UnitedHealth Group)
    Senior Data Engineer | Data Analyst
    DIGITAL AND IT
    June 2015 - March 2026 (10 years and 9 months)
    Hyderabad, Telangana, India
    Databricks Pipelines — Lakeflow/DLT, Unity Catalog & Delta Lake
    • • Built and maintained production-grade data pipelines in Azure Databricks using Lakeflow Declarative Pipelines (DLT) —
    implementing Expectations-based data quality validation to ensure reliability and trust in data products across the Lakehouse.
    • • Configured and managed Unity Catalog for governance and access control — seting up catalogs and schemas, defining permissions, and implementing lineage-friendly practices across the Databricks environment.
    • • Implemented Medallion Architecture (Bronze → Silver → Gold) with Delta Lake — enabling reliable, versioned, incremental processing for analytics-ready curated data products.
    • • Optimised cluster sizing, partitioning, file sizes, caching, and query plans to improve Databricks pipeline performance and reduce compute cost.
    ELT/ETL Paterns, Data Modelling & Quality
    • • Implemented ETL/ELT paterns for batch and incremental data processing — using watermark-based incremental loads, CDC, Delta Lake upserts, and SCD Type 1 & 2 for slowly changing dimensions.
    • • Developed and maintained Lakehouse data models aligned with Kimball dimensional modelling principles — designing star schemas, fact and dimension tables, and curated mart datasets following data warehousing best practices.
    • • Built data quality checks and monitoring frameworks (including DLT Expectations paterns) to ensure reliability and trust in data products — reducing manual validation effort by approximately 40%.
    • • Implemented data contracts and collaborated with analytics, data science, and engineering stakeholders to translate requirements into well-defined data deliverables.
    Azure, CI/CD & Operational Excellence
    • • Worked across the Azure data stack — Azure Databricks, Azure Synapse Analytics (T-SQL), Azure Data Factory — for enterprise data integration, migration, and platform modernisation.
    • • Operated within CI/CD-integrated Git workflows — applying branching strategies.
    Python Databricks SQL DBT
  • TECH MAHINDRA
    Senior Test Engineer (Data Validation)
    May 2010 - January 2013 (2 years and 8 months)
    India
    • • Performed SQL-based data analysis and ETL validation for enterprise data warehouse projects.
    • • Validated pipeline outputs against source data; documented findings and established test cases for data quality sign-off.

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Education

  • Microsoft Fabric Data Engineer Associate
    2026
    Microsoft Fabric Data Engineer Associate
  • Microsoft Azure Fundamentals AZ-900
    2025
    Microsoft Azure Fundamentals AZ-900

Skill set

Categories