Vishnu Anil Email & Phone Number

As an experienced Data Engineer, I specialize in building, optimizing, and managing data solutions that power business intelligence and analytics. With a broad technical skill set and hands-on experience in various tools and platforms, I’m dedicated to transforming data into valuable insights.Key Skills and Expertise:• Extensive experience with Azure Data Factory, Databricks, PySpark, and Spark SQL for building scalable ETL pipelines.• Proficient in big data technologies like Hadoop and Talend, enabling efficient data processing at scale.• Skilled in programming languages such as Python, Scala, Java, and UNIX shell scripting for automating data workflows and solving complex data challenges.• Strong understanding of data management in SQL environments, utilizing SSMS and SSIS for integration and optimization.• Experienced in business intelligence and data visualization using Power BI and Tableau, collaborating with stakeholders to create impactful reports.• Expertise in cloud platforms, with a focus on Azure, ensuring secure, governed, and scalable data architectures.I am committed to leveraging my technical expertise to streamline processes, improve performance, and contribute to an organization’s overall data strategy.

Listed skills include Artificial Neural Networks, Leadership, R, Ibm Cognos Analytics, and 48 others.

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  Data Engineer

  Tata Consultancy Services

  May 2022 - Present - Toronto, Ontario, Canada

  Domain: Canadian banking / AMLKey Responsibilities:• Develop and maintain scalable ETL pipelines using Azure Data Factory and Databricks to ingest, process, and transform large datasets.• Write efficient and optimized code in PySpark and Spark SQL for data transformation, cleansing, and aggregation.• Manage data in relational databases with SQL Server Management Studio (SSMS) and integrate data solutions through SQL Server Integration Services (SSIS).• Implement version control and manage code repositories using Bitbucket.• Collaborate with data analysts and business intelligence teams to create dashboards and visualizations in Tableau, ensuring the accessibility of data insights.• Use Python for custom scripting and automation to streamline data workflows and enhance ETL processes.• Optimize data systems and structures to improve performance and support advanced analytics.• Ensure the security, quality, and governance of data assets across various platforms.