Dinesh kumar Ganesan

Dinesh kumar Ganesan

About

Detail

🚀 Big Data Engineer | Databricks | SQL | Python | Scala | Spark | Azure | AWS | Delta Lake | Data Modeling | ETL Pipelines | Cloud Data Solutions
Poland

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Résumé


Jobs verified_user 0% verified
  • Ergo
    Senior Data Engineer
    Ergo
    Jul 2026 - Current (2 months)
  • Tata Consultancy Services
    Data Engineer
    Tata Consultancy Services
    Mar 2026 - Jun 2026 (4 months)
  • Santander Digital Services
    Big Data Engineer 🇵🇱
    Santander Digital Services
    Jan 2024 - Mar 2026 (2 years 3 months)
    Developed end-to-end data pipelines for investment banking solutions, delivering scalable and robust products tailored to client-specific requirements. Resolved critical bugs, monitored pipeline performance, optimised Spark/Scala code, and continuously enhanced system features in response to evolving business needs. Collaborated in a multicultural, cross-functional environment, ensuring strong communication with stakeholders and contributing to product strategy through thoughtful proposals. Owned deliverables, working collaboratively with team members to ensure timely, high-quality, and production-ready outputs. Engaged daily with data producers and consumers, ensuring accurate data lineage, maintaining operational pipeline health, and auto
  • HCL Technologies
    Senior Software Engineering 🇵🇱
    HCL Technologies
    Oct 2021 - Dec 2023 (2 years 3 months)
    Designed and implemented end-to-end (E2E) data pipelines, ensuring seamless data flow across systems with robust monitoring using centralized logging and alerting solutions. Continuously optimized code in Scala, Python, Spark, and SQL, enhancing overall pipeline performance, scalability, and reliability to meet dynamic business needs. Developed cloud-native architectures by integrating services from AWS and Azure into pipeline design, leveraging the strengths of both platforms for scalable data engineering. Led collaborative team efforts, providing technical direction, mentoring team members, and ensuring successful delivery of high-impact data solutions. Engaged with data consumers regularly, gathering feedback, adapting to evolving requir
  • Seargin
    Big Data Engineer 🇵🇱
    Seargin
    Feb 2021 - Sep 2021 (8 months)
    Built and maintained robust ETL pipelines, integrating data from multiple transactional systems to support business intelligence (BI), analytics, and reporting needs. Utilized Azure Data Factory (ADF) and Databricks to perform large-scale data transformation, orchestration, and seamless integration across various structured and semi-structured data sources. Monitored and supported daily ETL workflows, proactively identifying issues, implementing fixes, and ensuring high levels of data accuracy, consistency, and pipeline stability. Tech Stack: ETL & Orchestration: Azure Data Factory (ADF), Databricks Cloud Platform: Microsoft Azure Big Data Processing: Apache Spark (via Databricks) Programming Languages: Python, SQL Monitoring & Logging: Az
  • Fabryki Mebli FORTE SA
    Data Engineer 🇵🇱 🇮🇳
    Fabryki Mebli FORTE SA
    Aug 2018 - Jan 2021 (2 years 6 months)
    Project: Supply Chain Optimization Responsibilities: Applied deep understanding of Hadoop architecture and its ecosystem to design scalable data solutions for supply chain analytics. Imported data using Sqoop from relational databases and ingested it into the Hadoop Distributed File System (HDFS) for downstream processing. Designed and implemented data processing pipelines using tools such as Hive, and spark within the Hadoop ecosystem to support large-scale data transformation and analysis. Project: Predictive Maintenance & Product Optimization Responsibilities: Built real-time data pipelines for capturing and processing streaming data into Hadoop using Spark Streaming. Configured and maintained Kafka brokers, enabling real-time ingestion
  • Ventura Securities Ltd
    SQL Server Developer 🇮🇳
    Ventura Securities Ltd
    Nov 2015 - Oct 2016 (1 year)
    Developed ETL procedures and scripts to support seamless data extraction, transformation, and loading from diverse data sources into analytical systems. Collaborated with business stakeholders to review reporting requirements and translated them into actionable data queries, views, and models. Performed data modeling activities, designing and visualizing efficient database schemas and structures aligned with evolving business needs. Optimized SQL performance, tuning complex joins and stored procedures to reduce execution time and improve report responsiveness.
Education verified_user 0% verified
  • Wyższa Szkoła Ekologii i Zarządzania w Warszawie
    Master's degree, Supply Chain Management
    Wyższa Szkoła Ekologii i Zarządzania w Warszawie
    Jan 2016 - Jan 2018 (2 years 1 month)
    Management and Production Engineering
  • Anna University Chennai
    Electronic and Instrumentation Engineering
    Anna University Chennai
    Jul 2009 - Apr 2012 (2 years 10 months)
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