Vivek Sai Madhav Suri

• Designed, built, and optimized data pipelines, automated reporting processes, and transformed large structured and unstructured datasets to provide actionable insights for real estate and facilities operations.
• Designed, developed, and optimized scalable ETL / ELT pipelines for structured and unstructured data using SQL Server, MySQL, PostgreSQL, and cloud platforms (Azure and AWS).
• Built and maintained data lakes and data warehouses leveraging Databricks, Snowflake, and Azure Data Factory to support analytics and BI reporting.
• Automated ingestion, transformation, and integration workflows using SSIS, PySpark, and cloud-native services, ensuring data quality, governance, and reliability.
• Collaborated with cross-functional teams, including BI developers, data scientists, and business stakeholders, to deliver high-performance data solutions aligned with business goals.
• Designed and implemented data models, partitioning strategies, and performance tuning for large-scale databases to optimize query speed and reduce latency.
• Developed real-time and batch data processing frameworks, enabling streaming analytics and timely decision-making.
• Monitored, troubleshot, and improved pipeline reliability, ensuring compliance with data security, privacy, and governance standards.
• Contributed to cloud migration initiatives and modernization of legacy systems to scalable, cloud-first data architectures.
• Researched and adopted emerging technologies in data engineering, big data, and cloud ecosystems to improve scalability, automation, and efficiency.
• Implement and maintain version control and CI/CD pipelines (using Git, Jenkins, and TFS) to ensure code quality, facilitate collaboration, and streamline deployments.
• AXA XL, a global leader in property, casualty, and specialty risk solutions, leverages data-driven insights and innovative technology to help businesses manage complex risks across diverse industries.

Client 1: Simple TV – Virginia, USA

Project: Simple TV 64-bit – Internet TV player application for managing playlists, recording streams, playing multimedia, and maintaining user-level usage data.

Client 2: Etisalat – Dubai, UAE

Project: Etisalat TV – Streaming application delivering English, Arabic, and regional content across smart devices, providing telecom providers with comprehensive TV services and VOD content.

Responsibilities:

• Designed and implemented scalable ETL pipelines using SSIS, Pentaho BI, Azure Data Factory, Snowflake, and Azure Databricks, integrating data from SQL Server, MySQL, and PostgreSQL; automated data delivery via WinSCP, SFTP, Amazon S3, and ADLS.
• Built and automated financial/banking reports including Accruals, Deferrals, Invoices, Ledgers, Refunds, Chargebacks, Reconciliation, and Journal Reports using SSRS, Excel, and Power BI, improving reporting efficiency and accuracy.
• Designed and maintained CI / CD pipelines using Jenkins and GitHub Actions for automated testing, version control, and deployment of Python-based ETL and analytics modules.
• Developed interactive Power BI dashboards providing real-time insights on B2B/B2C payments, commissions, credit/debit notes, and outstanding balances. Collaborated with cross-functional teams to integrate LLM-based NLP pipelines for automating customer support responses and sentiment analysis within these dashboards.
• Managed cloud-based data workflows in AWS (EC2, S3) and Azure (SQL Database, ADLS), ensuring secure, scalable infrastructure and optimized data operations.
• Engineered big data pipelines using Azure Databricks, PySpark, and Scala to process and transform large datasets, improving performance and enabling advanced analytics at scale.
• Applied machine learning techniques such as regression, classification, clustering, and deep learning using Python, R, and SQL to drive predictive analytics and business automation initiatives.
• Wrote automation scripts using T-SQL, SQL, Python, R programming, Java, and C, operating across Windows and macOS environments, to support robust data processing, model development, and system integration.

• Developed and maintained backend modules for internal tools and enterprise applications using Java, JDBC, and SQL, ensuring high performance and data integrity.
• Designed and optimised SQL queries, stored procedures, and triggers for data extraction, transformation, and reporting needs.
• Built Java-based automation scripts to streamline testing workflows, reducing manual validation time and improving release efficiency.
• Participated in all phases of the SDLC, including requirements gathering, system design, coding, unit testing, integration testing, and deployment in Agile environments.
• Collaborated with QA and DevOps teams to debug issues, validate test cases, and ensure smooth application releases.
• Authored technical documentation, ER diagrams, and user manuals to support system handovers and improve team knowledge sharing.
• Applied database design principles to enhance schema performance and query execution, laying a foundation for scalable data solutions.
• Contributed to cross-functional discussions, aligning development work with business objectives and long-term data management strategies.