Anton Puthenpurackal Jackson

Dynamic PySpark Developer with proven expertise at Cognizant Technology Solutions, specializing in big data solutions and ETL processes. Recognized for innovative contributions that saved clients up to $200K. Proficient in data transformation and agile collaboration, driving project success through effective communication and technical excellence.

• Google Data Analytics Professional Certification
• Google IT Support Professional Certification

• Certificate of Excellence - Q1 2024, Awarded at the Cognizant Q1 2024 Townhall for active participation in client exchanges and team-building activities.
• Certificate of Excellence - Q2 2024, Recognized for HCode Scan Utility Innovation and winning the most points in the Client Hackathon.
• Certificate of Excellence - Q3 2024, Awarded for introducing Automated Data Profiling of Source Files, leading to cost savings of $120K-$200K.
• Star of Sprint Award, Recognized for significant contributions to feature development and timely deployments.

A Leading U.S.-Based Financial Services Company, Data Engineering and Analytics, PySpark Developer, 04/01/23 - 03/14/25

1) Development:

• Develop PySpark scripts for complex data transformations, cleansing, and aggregation on large datasets.
• Design and implement scalable big data solutions using PySpark and the Hadoop ecosystem (HDFS, Hive, Spark SQL).
• Create and manage database schemas, tables, and views for optimized data processing.
• Optimize PySpark jobs for performance and scalability, ensuring efficient resource usage.
• Integrate PySpark applications with other data processing tools and platforms.

2) Testing:

• Develop and execute unit tests to validate PySpark scripts.
• Conduct integration and performance testing to identify and resolve bottlenecks.
• Debug and troubleshoot PySpark applications using appropriate tools.

3) Code Management:

• Participate in code reviews to ensure adherence to best practices.
• Manage GitLab branches and merges, resolving code conflicts effectively.

4) Collaboration & Communication:

• Work closely with data engineers, senior developers, and product owners to understand data requirements.
• Maintain comprehensive documentation for PySpark applications.
• Communicate regularly with stakeholders on project progress and issue resolution.
• Mentor junior developers by sharing knowledge and best practices.

5) Continuous Improvement:

• Stay updated with latest advancements in PySpark, big data technologies, and industry best practices.
• Identify opportunities for process improvements and implement enhancements.
• Explore new technologies and innovative solutions to improve data processing capabilities.

6) Security & Compliance:

• Ensure compliance with data security and privacy regulations.
• Implement measures to protect sensitive data and prevent unauthorized access.

7) Innovation & Research:

• Research emerging technologies and methodologies to enhance data processing.
• Develop proof-of-concept solutions to explore new approaches for optimizing workflows.

Authorized to work in the U.S. (Green Card) – No sponsorship required now or in the future