Sushant Kumar Gupta Email & Phone Number

Pune, Maharashtra, India

• Team Leadership: Manage and mentor a team of data engineers, providing guidance, support, and fostering a collaborative and innovative work environment. Set clear goals and objectives for the team.
• Mentorship: Coached team members and provided mentorship for issues and aspirations through regular check-ins and career development conversations.
• Delivery Management: Estimated and planned program deliveries by collaborating with cross-functional teams such as product management, business analysts, data scientists, QA etc. Managed end to end delivery. Involved.
• Data Integration and ETL: Oversee the development and maintenance of Extract, Transform, Load (ETL) processes to ingest and integrate data from various sources, including databases, APIs, and third-party systems.
• Performance Optimization: Continuously monitor and optimize data pipelines and processes for performance and efficiency. Identify bottlenecks and implement improvements to enhance data processing speed and reduce.
• Data Infrastructure Design: Collaborate with stakeholders, data scientists, and other teams to design scalable and efficient data infrastructure and architecture. Ensure that data pipelines, ETL processes, and data.

Norwich, England, United Kingdom

• Team Leadership: Manage and mentor a team of data engineers, providing guidance, support, and fostering a collaborative and innovative work environment. Set clear goals and objectives for the team.
• Mentorship: Coached team members and provided mentorship for issues and aspirations through regular check-ins and career development conversations.
• Delivery Management: Estimated and planned program deliveries by collaborating with cross-functional teams such as product management, business analysts, data scientists, QA etc. Managed end to end delivery. Involved.
• Data Integration and ETL: Oversee the development and maintenance of Extract, Transform, Load (ETL) processes to ingest and integrate data from various sources, including databases, APIs, and third-party systems.
• Performance Optimization: Continuously monitor and optimize data pipelines and processes for performance and efficiency. Identify bottlenecks and implement improvements to enhance data processing speed and reduce.
• Data Infrastructure Design: Collaborate with stakeholders, data scientists, and other teams to design scalable and efficient data infrastructure and architecture. Ensure that data pipelines, ETL processes, and data.

Norwich, England, United Kingdom

• Data Architecture and Design: Collaborated with cross-functional teams, including data scientists, business analysts, and data engineers, to design and implement data architectures that cater to the diverse data needs.
• Data migration: Developed a road map to migrate data pipelines from Cloudera to AWS EMR. Led the migration team for a year moving legacy system to AWS cloud.
• Automation and Tooling: Drive the development of automation scripts, tools, and frameworks to streamline data engineering processes, improve efficiency, and reduce manual intervention.
• Big data technologies: Developed streaming data pipeline processing data at the rate of 300 messages per second using AWS SQS, AWS lambda and DynamoDB to detect fraudulent quotes.
• Cross-team Collaboration: Work closely with various teams such as data science, business analysts, and software development teams, to understand their data needs and provide them with the necessary data solutions.
• Troubleshooting and Issue Resolution: Act as a technical lead and subject matter expert in diagnosing and resolving complex data engineering issues, ensuring smooth and uninterrupted data operations.

Pune, Maharashtra, India

• Requirement Analysis and Stakeholder Engagement: Conducted joint requirements development sessions to thoroughly analyze project requirements with stakeholders.
• Requirement Understanding and Validation: Ensured a comprehensive understanding of both functional and non-functional requirements to validate their alignment with desired business outcomes.
• Data Processing Pipeline Development: Constructed a data processing pipeline utilizing Hadoop MapReduce technology, handling terabytes of retail data and integrating with data science tools to share processed output.
• Web Application Design and Development: Designed and developed a web application using Java and the Spring framework, providing a robust and scalable solution for business needs. Contributed to the entire software.
• Performance Optimization: Optimize application performance and performed troubleshooting on technical issues as needed.

Nagpur Area, India

• Data Source Integration: Developed code modules to connect to various data sources, including SOAP API endpoints, REST API endpoints, and database endpoints. Retrieved JSON, XML, List, and DBMS data, handled data.
• ETL Solution Development: Developed Extract, Transform, Load (ETL) solutions to connect to over 50 data sources. Extracted, parsed, cleansed, and inferred data schema to facilitate effective data processing..
• Standard Practice Implementation: Introduced standard practices for code review, code coverage analysis, code quality analysis, and bug reporting to maintain high standards of software development and ensure.
• TDD and Code Reusability: Introduced Test-Driven Development (TDD) practices and promoted code reusability to enhance software quality and development efficiency.

Bhilai Area, India

• Web Crawling and Data Parsing: Developed web crawlers in Java to extract data from various review websites, utilizing regular expressions (regex) for data parsing. Saved the extracted data to a MySQL database using.
• Spring-Hibernate Web Application Development: Created a Spring-Hibernate web application that allows users to visualize the output of the data crawling process. Implemented jQuery charts and graphs to present the data.
• Database Schema Design and Implementation: Designed the database schema, including creating tables, views, and triggers to support the application's data storage and manipulation requirements.
• AWS Cloud Management: Managed AWS cloud services to ensure the scalability, reliability, and security of the application's infrastructure hosted on the cloud platform.
• Version Control and Deployment Management: Maintained Git repository for version control, conducted code reviews, documented features, and managed the deployment process to the cloud environment.
• Selenium Testing: Conducted Selenium testing to automate web browser interactions and ensure the functionality and performance of the web application across different browsers.

Mumbai Area, India

• Web Application Development: Developed a Struts-Hibernate web application, utilizing Oracle as the underlying database.
• Testing and Debugging: Wrote unit tests using JUnit to ensure code quality and reliability.
• Knowledge Sharing: Actively shared expertise and knowledge with team members, conducted code reviews, pair programming, and knowledge-sharing sessions to support skill development and collaboration within the team.