Saurabh Rane
Data Engineer @Tata Consultancy Services
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WORK HISTORY
Data Engineer @Tata Consultancy Services
Pune, IN
Cloud Data Engineering (Azure) – Leveraging Azure-based storage and compute resources for scalable, secure, and efficient big data processing in cloud-native architectures. Data Extraction & Processing – Extracting and transforming Operational data from SAP ERP and other enterprise platforms using Databricks, PySpark, and SQL to enable downstream analytics. Delta Lake & Unity Catalog Management – Managing data staging in Delta Lake, implementing Unity Catalog for robust data governance, and ensuring data consistency, integrity, and compliance across environments. ETL & Data Pipeline Development – Designing and automating scalable ETL pipelines for processing structured and semi-structured data using Apache Spark within the Databricks ecosystem. SQL & PySpark Optimization – Writing, optimizing, and tuning SQL queries and PySpark scripts to ensure high-performance data transformation and reduce processing time and compute costs. Job Orchestration & Automation – Creating, scheduling, and monitoring Databricks jobs to automate workflows, streamline processes, and support reliable data operations. Data Visualization & Reporting – Building interactive dashboards using Power BI to empower audit and business teams with actionable insights derived from financial datasets.
EDUCATION
GOVERNMENT COLLEGE OF ENGINEERING, JALGAON.
Bachelor of Technology - BTech, Electronics and Telecommunications Engineering
ABOUT SAURABH RANE
As a Data Engineering professional with nearly 3 years of experience as IT professional, I specialize in building robust, scalable, and secure data solutions on the Azure cloud platform. My expertise lies in developing end-to-end ETL pipelines using Apache Spark, Databricks, SQL, and PySpark to process structured and semi-structured data from diverse enterprise systems such as SAP ERP I have hands-on experience managing data governance and compliance through Unity Catalog and Delta Lake, ensuring data consistency and integrity across the pipeline. I design and orchestrate automated workflows in Azure Databricks to streamline complex data transformations and drive operational efficiency.My role also involves optimizing PySpark scripts and SQL queries for performance tuning, enabling faster data processing and reduced compute costs. I actively contribute to cloud data engineering initiatives by leveraging Azure Data Factory and Azure-based storage and compute resources to handle big data workloads at scale.In addition, I collaborate closely with business stakeholders to develop impactful Power BI dashboards, empowering audit teams with actionable insights derived from financial data.I am confident and self-motivated person who always wants to explore and contribute with my functional and technical skills to provide deliver efficacious outcome.
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