KASINATHA DURAI AUVUDAIAPPAN

Overall, I have 15 years of experience in data analytics and web applications development, along with 8 years of experience in data analytics. I have expertise in designing the project architecture for Talend to Spark migration, and I have extensively worked in the following phases of the software development lifecycle: development, documentation, testing, and production monitoring and support. Hands-on experience in ingesting data into a Data Warehouse using various data-loading techniques. Hands-on experience in scheduling jobs using Autosys, with good knowledge of HBase, MongoDB, and PySpark. Web development skills in ASP.NET MVC 4, ASP.NET, WCF, and MSSQL Server 2012. ETL development skills in SQL Server Integration Services (SSIS). Having good experience in web design using HTML, XML, JavaScript, AJAX, jQuery, JSON, and Crystal Reports XI. Having good experience in TFS, MS Build, PowerShell Script, Azure DevOps, and Jenkins for build and deployment solutions.

• Microsoft Azure Fundamentals
• Microsoft Azure Data Engineer Associate
• Databricks Certified Data Engineer Associate
• Perform Data Engineering on Microsoft Azure HDInsight (Big Data)
• Designing Business Intelligence Solutions with Microsoft SQL Server
• Developing ASP.NET MVC 4 Applications

• Responsible for analyzing, developing, coding, diagnosing, and correcting the errors and faults in an application's programming language within established development protocols, guidelines, and quality standards to ensure programs and applications perform to specification
• Researching, consulting, analyzing, and evaluating system program needs
• Providing solutions, guidance, and expertise in developing proposals and strategies for software design activities
• Design and develop code using Spark, Hadoop, Hive, Python, and Spark-SQL, using software development tools such as PyCharm, Visual Studio Code, Bitbucket, Jenkins, and Jira
• Writing the program code to meet system requirements, system designs, and technical specifications in accordance with quality-accredited standards; proficient in writing code in programming languages such as Python, Spark-SQL, Hive, and Shell Script
• Documenting high-level, low-level design documents, and Control-M orchestration
• Identifying and improving technology limitations and deficiencies in existing systems, processes, procedures, and methods
• Documenting developed software solutions to ensure they can be referenced and updated by other software engineers in the future
• Collaborating with other team members, such as project managers, other software developers, data analysts, and data scientists, to ensure that the software developed meets user needs
• Keeping up to date with new technologies and programming languages, so as to be aware of new trends and best practices, and being willing to adapt to new technologies as needed

• Lead the design, development, and enhancement of enterprise-grade applications across OLTP, OLAP, and DSS systems, leveraging dimensional data modeling techniques in SQL Server
• Architect and oversee end-to-end ETL processes—from data ingestion in the staging layer to transformation and delivery in the presentation layer—utilizing Talend as the core ETL tool
• Drive best practices in data warehouse architecture, development methodologies, and lifecycle processes to ensure high-quality, scalable data solutions
• Lead the design and implementation of data marts, data structures, storage solutions, enterprise data warehouses, archives, and analytics platforms to support diverse business needs, guide and mentor team members while also contributing as an individual performer, and collaborate effectively with cross-functional teams, stakeholders, and executive leadership to align data initiatives with business objectives
• Ensure adherence to coding standards and quality benchmarks by authoring and reviewing high-performance, maintainable code based on detailed system requirements and technical specifications
• Spearhead the development of advanced data engineering pipelines using Spark ecosystem tools, including Scala-Spark, Spark SQL, Hive, HBase, and Solr.
• Proactively troubleshoot and resolve complex data and application issues, and implement robust monitoring and incident resolution processes for minimal disruption
• Enforce rigorous change control and change management practices across the project lifecycle, ensuring traceability and compliance with governance standards
• Play a key role in IT service management, actively participating in incident, problem, change, and release management to ensure system stability and operational excellence