Praveen Basavapatna Madhava

Data Engineer

Germany4 yrs experience
AI EnabledHighly Stable

Key Highlights

  • Expert in building efficient data pipelines.
  • Proficient in machine learning and data analysis.
  • Skilled in developing dynamic dashboards for real-time insights.
Stackforce AI infers this person is a Data Engineer with strong capabilities in SaaS and data analytics.

Contact

Skills

Core Skills

Data AnalysisData EngineeringData VisualizationSoftware Development

Other Skills

Agile EnvironmentBitbucketC (Programming Language)C++Dashboard DevelopmentData Flow MaintenanceData IntegrationData LoadingData Pipeline OptimizationData PipelinesData PreprocessingData TransformationData WarehousingDeep LearningExploratory Data Analysis

About

Data Enthusiast | Master's Graduate in Applied Data Science and Analytics ๐Ÿš€ Passion for Data Whether Iโ€™m building efficient data pipelines, uncovering hidden patterns through analysis, or deploying machine learning models to predict trends, I thrive on turning complex datasets into actionable insights that drive results. Iโ€™m always seeking new challenges to push the boundaries of what's possible with data. ๐Ÿ” My Versatile Skill Set Data Engineering: Designing scalable data architectures and pipelines to ensure data is clean, accessible, and ready for analysis. Data Analysis: Leveraging Python, SQL, and visualization tools to extract meaningful insights from raw data, helping businesses make informed, data-driven decisions. Data Science: Applying machine learning, NLP, deep learning, Gen AI, LLMs and computer vision to predict outcomes and optimize business performance.

Experience

4 yrs
Total Experience
3 yrs
Average Tenure
1 yr
Current Experience

Talentsconnect ag

Data Engineer

Jun 2025 โ€“ Present ยท 1 yr ยท Cologne, North Rhine-Westphalia, Germany ยท Hybrid

Merck kgaa, darmstadt, germany

Working Student Data Analyst

Jul 2023 โ€“ Sep 2024 ยท 1 yr 2 mos ยท Darmstadt, Hesse, Germany

  • Developed automated data integration solutions, extracting data from heterogeneous sources (e.g., databases, APIs, flat files), and seamlessly blending them into unified datasets, resulting in more efficient and accurate data access across teams.
  • Performed exploratory data analysis (EDA) to uncover actionable insights, supporting data-driven decision-making processes for key stakeholders and improving business strategy alignment.
  • Automated the data extraction process from multiple sources using Power Automate, significantly reducing manual effort and ensuring timely, accurate data availability for reporting and analysis.
  • Implemented advanced data preprocessing techniques, such as data cleaning, transformation, and normalization, to enhance the accuracy of analytics and machine learning models.
  • Optimized data pipelines, streamlining data flow to enhance processing efficiency, reducing latency, and improving system performance for better data-driven operations.
  • Conducted regular validation and monitoring of data pipelines, ensuring their robustness and reliability, preventing data inconsistencies, and maintaining data quality across the system.
  • Designed and developed dynamic dashboards and reports using tools like Power BI, Tableau & Qlikview, delivering insights for multiple business sectors and empowering teams with real-time data visualizations.
  • Created comprehensive documentation for workflows, data pipelines, and reporting processes, ensuring knowledge transfer and system sustainability across departments.
Data IntegrationExploratory Data Analysis (EDA)Data PreprocessingData Pipeline OptimizationDashboard DevelopmentData Analysis+1

Stats perform

Software Engineer

Sep 2019 โ€“ Sep 2022 ยท 3 yrs ยท Bengaluru, Karnataka

  • Developed and optimized data transformation pipelines for integrating data from multiple sources, ensuring smooth and efficient data processing across platforms.
  • Designed dynamic dashboards and reports for various sports domains using Power BI and Tableau, delivering real-time analytics and actionable insights, enhancing decision-making in fast-paced environments.
  • Implemented changes in Packages, Procedures, and Triggers to accommodate evolving rules in sports leagues, ensuring that data systems remain up-to-date with league regulations and maintaining system accuracy.
  • Maintained data flow for high-traffic webpages such as Statspass and Stats Racelens (Equibase), ensuring continuous and reliable delivery of real-time sports data to users, while regularly monitoring and improving data models for performance.
  • Performed CRUD operations and contributed to Test Driven Development (TDD), collaborating closely with development teams to ensure code quality, reliability, and rapid bug identification.
  • Analyzed root causes of production failures and implemented timely fixes, preventing application downtime and ensuring the smooth operation of critical data loads for sports applications.
  • Served as the primary Point of Contact (POC) for tools and reporting applications, managing communications, troubleshooting issues, and providing expertise across the organization.
  • Deployed code to production environments, ensuring seamless transitions from development to live systems, with a focus on minimizing disruptions and maintaining system stability.
  • Handled sports data-related issues by identifying and resolving bugs, maintaining the accuracy and timeliness of sports data for key applications.
  • Documented workflows and processes, facilitating smooth knowledge transfer across teams and ensuring that best practices were consistently followed.
Data TransformationDashboard DevelopmentData Flow MaintenanceTest Driven Development (TDD)Production DeploymentData Engineering+1

Education

SRH University

Master's degree โ€” Applied Data Science and Analytics

Oct 2022 โ€“ Sep 2024

Korn Partners

Bachelor of Engineering - BE โ€” Electrical and Electronics Engineering

Aug 2015 โ€“ Jul 2019

Stackforce found 100+ more professionals with Data Analysis & Data Engineering

Explore similar profiles based on matching skills and experience