Resume Software Engineer in India Goa

Full Stack Developer Intern at Intellect AI, Intellect Design Arena | Chennai, Tamil Nadu ● Project: Magic Submission – Customer Engineering Feb 2025 - Present ● Started as a Java Full Stack Developer, building robust backend APIs with Java and Spring Boot and designing dynamic, responsive frontends using Angular, HTML, CSS, and TypeScript. ● Transitioned into Python-based data engineering, implementing ETL pipelines and distributed data workflows with Apache Spark (PySpark) for analytics and reporting. ● Managed data storage and compute solutions using AWS S3 and EC2, automated scalable ETL processes with AWS Lambda and Step Functions, and optimized analytical queries with Amazon Redshift. ● Containerized web and data applications using Docker, set up CI/CD pipelines with Jenkins for seamless deployment, and handled serverless data processing workflows. ● Used PostgreSQL, MySQL, and SQL Server for complex queries and data transformation, ensuring data integrity and supporting application analytics. ● Collaborated closely with cross-functional teams (engineering, design, business users), presented architecture diagrams, and translated technical solutions into actionable business outcomes. ● Delivered production-ready features, solved real-world technical challenges, and continuously learned new tools and frameworks. ● Strengthened proficiency in building scalable web applications, integrating cloud technologies, and working effectively in fast-paced agile teams. ● Engineered a star-schema data warehouse in Azure Synapse Analytics dedicated SQL pool, creating staging, fact, and dimension tables optimized for performance using distribution and indexing strategies. ● Utilized COPY INTO command for efficient bulk data loading from Azure Data Lake into Synapse, ensuring high throughput and minimal latency. ● Collaborated with business and technical stakeholders to translate analytical requirements into well-structured data models and pipelines aligned with business goals. ● Created and maintained comprehensive technical documentation covering pipeline design, data transformations, warehouse schema, and data lineage for ease of knowledge transfer and team collaboration. ● Designed and delivered rich exploratory and operational Power BI dashboards connected to Synapse Analytics, enabling real-time sales insights and decision support for business users. ● Leveraged Azure Managed Identity for secure, seamless authentication and access control across data pipelines and services, enhancing governance and compliance. ● Led task planning and coordination for timely project delivery, mentoring junior members in data engineering best practices and fostering collaborative team environments. ● Applied problem-solving and analytical skills to troubleshoot pipeline failures, optimize query performance, and ensure robust data availability. ● Demonstrated the ability to simplify complex data engineering concepts into clear presentations for cross-functional teams and client stakeholders. ● Adapted to dynamic cloud environment constraints by designing flexible architectures suitable for scalable and evolving data workflows. ● Ensured adherence to development methodologies and best practices in coding, testing, and deployment to maintain high-quality project outcomes. ● Prepared the project environment to support virtual, distributed teamwork, following ZS’s culture of flexible, connected work styles blending remote and on-site collaboration.

Jain University, Bengaluru 2023 – 2025 MCA - Storage & Cloud Technology, Computer Science and IT Related Course Work: Cloud Computing, Data Structures, Data Structure and Algorithms (DSA), Database Management Systems (DBMS), Algorithm Design, OOPS Concept, Operating System, Data Virtualization, VMWare, Machine Learning, Data Science, Networking, Problem Solving, Complexity analysis.

● Programming Languages: C, Python, Java, SQL ● Cloud Technologies: AWS (IAM, EC2, S3, VPC, Load Balancer, Lambda, RDS, DynamoDB, Textract, SNS, SQS, CloudFormation, CloudWatch, CloudBurst, NAT Gateway, Route 53); Azure (AZ-900 Certified, Blob Storage, Cloud Networking, Cloud Services, Data Factory, Databricks, Synapse Analytics); IBM Cloud (WatsonX Assistant) ● Visualization Tools: Power BI ● Frameworks & Libraries: Spring Boot, AngularJS, ReactJS, Node.js ● Front-End Technologies: HTML5, CSS3, JavaScript, Angular 7, Bootstrap ● Scripting: JavaScript ● Relational Databases: Oracle, PostgreSQL, MySQL ● NoSQL Databases: MongoDB, DynamoDB ● Containerization Tools: Docker, Kubernetes

English

PUBLICATION ● Title: Cloud Computing Survey for Cost Optimization ● Link: JNRID - JOURNAL OF NOVEL RESEARCH AND INNOVATIVE DEVELOPMENT,ISSN:2984-8687, Vol.2, Issue 5, May-2024