Vanessa Lomeli Email and Phone Number

• Analyzed Parquet files in data lake to assess reliability and accessibility as data sources, leveraging PySpark and Databricks to support new feature development in data pipelines• Implemented data quality checks for millions of records using Amazon Deequ, establishing thresholds through comprehensive analysis to ensure data reliability during transformation and loading processes• Developed and optimized 12 data pipeline features using Java, enabling millisecond-level data retrieval from Hazelcast and DynamoDB, reducing financial risk, and enhancing the experience for 100,000+ card customers• Provided production support for 10+ data pipelines by troubleshooting AWS Lambda and Glue infrastructure, ensuring data freshness and operational reliability• Investigated and resolved data issues using PySpark and Databricks, identifying and addressing problems in code, credit policy implementations, and data integrity• Researched and evaluated implementation options to align with business objectives, presenting recommendations to the team, product owners, and business partners• Conducted research on implementation options to support business goals, and presented recommendations to the team, product owners, and business partners.• Investigated and analyzed credit authorization data using Databricks and PySpark to troubleshoot suspicious declines, sharing insights with business analysts and product owners• Ensured data integrity during a migration project, ensuring seamless transition from Hazelcast to DynamoDB on the card authorization platform

• Led a team of developers and testers through design, implementation, testing, and validation of new features and defect resolutions• Guided a team through Agile rituals such as daily stand-ups and sprint retrospectives• Mentored and trained onboarding developers on standards of practice and programming methodologies • Implemented and designed technical solutions for user stories based on acceptance criteria utilizing Java, Spring Batch, Cassandra, Kafka, and Oracle• Led 20+ code reviews as a technical and functional expert• Actively participated in operations and maintenance for a real-time, scalable application

• Documented technical processes and functional flows to drive solution design and technical implementation• Validated technical implementations in both testing and production environments by creating SQL queries andExcel workbooks• Improved predictive scheduling system with over 96% accuracy by expanding coverage for edge case scenarios and parallel and continuous deployment of enhancements during pilot phase as the primary Java developer

• Intern for Cloud Managed Services in the Summer 2017 and 2018• Learned and practiced Agile techniques such as stand-up meetings and sprint planning which helped increase productivity and teamwork.• Utilized Java, Spring Frameworks, Apache Tomcat, Maven, and the Urbancode Deploy REST API (Summer 2017)• Updated the Cloud Managed Services Converged Dashboard to include the status of pre-check builds (Summer 2017)• Utilized Jenkins, Github, Github API, and shell scripting to create a Jenkins declarative pipeline build to trigger a hotfix build from a separate Jenkins build (Summer 2018)• Lead a team of 4 interns to create and promote events that would expose 45 other IBM summer interns to IBM and the Rochester, Minnesota community in an attempt to network with employees and each other (Summer 2018)