Jeyanthpranav Suresh

• Demonstrated proficiency in crafting robust technical architectures tailored to meet complex business requirements and scalability needs.
• Ensure Python and Pyspark framework's readiness for production through rigorous testing, documentation, and optimization efforts.
• Designed Python microservices using components such as containers, load balancing, gateway, vaults etc.
• Leveraged expertise in emerging technologies to design and implement innovative solutions that drive organizational growth and efficiency.
• Worked on Static Application Security Testing (SAST), Dynamic Application Security Testing (DAST), managing Open Source Software (OSS), and performing Code Vulnerability Checks (CVC) to ensure strict adherence to intellectual property standards.
• Led architectural reviews and provided guidance to development teams, ensuring adherence to architectural standards and principles.
• Collaborated closely with stakeholders to understand their needs and translate them into scalable and maintainable technical solutions..
• Collaborate with project managers and product owners to select ambitious, but realistic milestones on software project development.
• Collaborate and guide team to identify and act on technical problems and challenges
• Worked closely with business analysts, development teams and infrastructure specialists to deliver high availability solutions for mission-critical applications.
• Delivered high-quality solutions within tight deadlines while adhering to budget constraints.
• Resolved complex technical issues by troubleshooting systems, analyzing root causes, and implementing effective fixes.

• As Senior Data Engineer, participated in all aspects of Agile technical work
• Design, development and maintenance of backend algorithm using python with numpy and pandas, Sql, NoSQL, Hadoop technologies like spark(PySpark) and Solr(elastic search engine) implementing microservices architecture with Django & fastAPI frameworks
• Develop complex code, scripts and data pipelines to process structured and unstructured data near real-time that reduced 60% of batch workload and improved application user needs
• Designed various data Pipelines with various sources to inject into target sources that meet functional / non-functional business requirements
• Collaborated with cross-functional development team to analyze potential solutions based on evolving client requirements
• Designed and developed integration jobs using PySpark to retrieve data from multiple source and load it to application staging Database by making various transactions as required by application
• Reviewed and incorporated latest technology innovations and development strategies to improve build speed, quality and data flow experience
• Preparing builds, deploy and Co-ordinate with release management team to ensure that proper process is followed during release and supporting implementation team for application deployment and handling of critical issues in timely manner
• Lead 15 members team, alongside existing responsibilities, demonstrating adaptability and commitment to team success
• Reduced software development time for critical projects by streamlining processes and utilizing agile methodologies

• Started as Engineer for Optumera AI-powered retail optimization suite part of TCS Retail Strategic initiatives
• Designed and developed backend algorithm in R Programming with algorithm model shared by data scientist
• Analyzed functional and non-functional requirements that were given by business analysts
• Designing and preparing technical documents by mapping business requirements
• Performing Code reviews with team, design reviews with Architects
• Made use of Apache Subversion, Jenkins where in all these was integrated to achieve continuous integration and continuous deployment
• Provided End to End support in testing activities during System Testing, Performance Testing and UAT