Zach M. Email and Phone Number

Java + JS Coder, Views Team, TSP Designer ○ Coded a React and Node.js POC working with our Spring Framework and Swagger hosting our REST API to develop a renewed frontend and custom-customer experience ○ Built set tags actions popups and dialog boxes with TS custom java descriptor classes and handling files of 4000+ lines to streamline interactions by removing set properties actions ○ Created a Material Design app with React, MUI (Material UI), and Node.js to mock a customer custom website connecting with our TSP Swagger REST API implementation Database Engineer, Framework Team, GraphDB Integrator ○ Created Apache Tinkerpop 3.0 queries in Apache Groovy to import lung cancer data from the Harvard Dataverse into our Neo4j GDB (Graph Database) to export CSVs for file ingestion ○ Built GDBs’ MVPs of: ArangoDB, ArcadeDB, Dgraph, Janusgraph, Neo4j, and OrientDB with Docker containers for QFD (Quality Function Deployment) HOQ (House Of Quality) evaluations ○ Scripted with SQL, GraphQL OpenCypher, Gremlin, and SPARQL query languages for graph traversal of non-tabular nodes and edges for GDBs’ performance and feature assessments ○ Deployed NoSQL DBs including: Apache Cassandra, Neo4j, and OrientDB for load testing with ICIJ (International Consortium of Investigative Journalists) Offshore Leaks database dump ○ POC of JMH (Java Microbenchmark Harness) wiring for consistent and reliable results Python Programmer, CGI Inc, Federal Contract ○ Created SSO authentication with Keycloak, Spring-Boot, and Java to mock DIA DTMI (Defense Intelligence Agency: Data Transformation of Foundation Military Intelligence) access ○ Built CDC DB event streaming with Debezium, Kafka, and ZooKeeper to model handling of the DIA MIDB (Modernized Integrated Database) for downstream data ingestion ○ Developed alerts and data handling for DIA MARS (Machine-assisted Analytic Rapid-repository System) historical data with AWS Lambda from AWS S3 to DynamoDB and PostgreSQL on RDS

○ Created Airflow DAGs in Python generating MDM (Master Data Management) datasets and publishing millions of transactions into Reltio RDM (Reference Data Management)○ Automated daily cron jobs with Apache Airflow’s DAGs (Directed Acyclic Graphs) deployed on Google Cloud Composer to maintain Reputation.com information○ Processed individualized asynchronous and distributed computing by utilizing Apache Beam’s ParDos and their DoFns to create a fault-tolerant and streamlined REST request-response○ Transformed processing functions into generic parallel processing on GCP Dataflow deployed with Terraform to handle thousands of deeply nested key-value structures○ Coded SQL tables, views, and stored procedures in Google Standard SQL on GBQ for MD-Staff, PeopleSoft, and Athena data-sources into Reltio, Reputation.com, and MyChart○ Packaged multilanguage JARs (Java ARchives) of Java, Python, and SQL with Maven and deployed with Jenkins to create reproducible standardized deployments ○ Replicated data extraction from MSSQL DB-Servers to GCS (Google Cloud Storage) Buckets for data ingestion of NextGate EMPI as a data source for CDC (Change Data Capture)○ Engineered data ingestion of pipe-delimited DSVs (Delimiter-Separated Values) with Google Cloud Functions transforming into a RDBMS (Relational Database Management System)○ Automated daily runs of cron-job stored-procedures with Google Cloud Scheduler reconstructing on-premise database-servers over to the cloud dataset-environments○ Remodeled DDL (Data Definition Language) and DML (Data Manipulation Language) into JS (JavaScript) on Google Cloud Functions for dynamic low-maintenance computing○ Engineered and triggered GCP Functions with GCP-Pub/Sub Topic-Messages to handle on-demand API requests across GCP Projects and deployment environments○ Rebuilt Node.js scripts into Python 3 functions to redress CICD (Continuous Integration and Continuous Deployment) complications with Terraform deployments

○ Refactored RESTful API Netflix’s Hystrix to SWF (Spring Web Flow) directed onto its Spring Bean Rest-Controller to transition database logic of billions of transactions○ Converted between Java camelCase and PostgreSQL snake_case utilizing dynamic getters and setters that are class-level invoked to create DB inserts and updates regardless of table○ Deployed Spring Boot JARs (Java Archives) from Jenkins jobs into Kubernetes pods to development, testing, and production environments for hundreds of customer clients○ Developed Java 8 API (Application Programming Interface) handling millions of REST (Representational State Transfers) requests to provide SaaS (Software as a Service)○ Streamlined data read-write with Java 8 array streams and lambda parameter-expressions to improve processing and memory performance as well as increase readability to prevent errors○ Jenkins deployed Spring Boot JAR (Java Archive) files into Kubernetes pods for deployment environments to provide event driven, reactive processing, and dependency inversion○ Created Jenkins crumb issuer tokens for CSRF (Cross-Site Request Forgery) protection middleware and handling frontend to backend communications○ Deployed Spring Boot solutions from Jenkins jobs creating new Kubernetes pods in Docker images’ containers for documentable process management and deployment controls○ Utilized JDBC (Java Database Connectivity) Templates and Spring Data Repositories to match up the ODBC (Open Database Connectivity) connections to our Oracle DBMS and PostgreSQL○ Stream Apache Kafka topics for WCC service listeners to handle events asynchronously with Apache Camel exchange such as NCOA (National Change Of Address)

○ Created a cost projection reports with Spring Framework Core Technologies and Spring REST (Representational State Transfer) to simplify client management and financing renewals○ Developed detail filtering for data integrity with JSON API requests in Spring Boot and its Spring Framework Core Technologies providing the IoC (Inversion Of Control) container○ Created MySQL 5-to-8 snapshots to address End-Of-Life (EOL) concerns by converting Latin-1 to UTF-8 encoding and upgrading engine in AWS RDS (Relational Database Service)○ Converted REST requests from query strings parsing substrings and Regex (Regular Expression) to JSON (JavaScript Object Notation) bodies reducing API complexity and maintenance costs○ Transitioned from Spring Framework 1.X Spring Boot Starter to Spring Framework 2.0 and Amazon Corretto 11 for LTS (Long Term Support) for modularity and further functionality

○ Created full-stack website in Nuxt.js to sunset multiple desktop apps multi-millions of financial transactions to prevent maintenance and manual processing saving $360,000 annually○ Developed SPA (Single-Page Application) to transition from many MVC (Model-View-Controller) desktop applications to single MVVM (Model - View - ViewModel) in Vue (Vue.js)○ Reconstructed Microsoft’s LDAP (Lightweight Directory Access Protocol) AD (Active Directory) into a cross-platform SSO middleware in Nuxt.js Axios simplifying user state management○ RESTed (Representational State Transfer) a/synchronous data with Express (Express.js) to Microsoft SQL Servers processing millions of T-SQL statements on Microsoft SQL servers○ Created Express.js REST API (Representational State Transfer Application Programming Interface) to be flexible with internal JSON (JavaScript Object Notation) requests○ Created a SSO (Single Sign-On) website in Vue (Vue.js) MVVM (Model-View-ViewModel) for fast components, dynamically responsive, and resource minimization UI (User Interface)○ Built with Google’s Material Design component states, grid-layouts, and flexible screen size in Vuetify with Vue for HTML DOM (HyperText Markup Language Domain Object Model)○ Developed interactive and animated SPA (Single-Page Applications) including hamburger menus, navigation panels, and kabob options with Vue-Loader CSS (Cascading Style Sheets) modules○ Searched for specific patterns and character sequences in searches, filters, and auto-filling with Regex (Regular Expression) to dynamically return CSV reports and data table views○ OLTP (Online Transaction Processing) hundred millions of transactions in MSSQL Server T-SQL (Transaction-SQL) for client travel and event transactions and reporting○ SSR (Server-Sided rendered) routing navigation in Nuxt.js for easy navigation accessibility, growable scalable design, and session state management

○ Developed website backend in C# (C Sharp) .NET Core Framework, and NuGet PMS (Package Management System) for reporting and diagnosing billions of data points into summaries○ Built development web application using the SLN (Visual Studio Solution) for our aPaaS (application Platform as a Service) of MTS Echo: website, mobile app, and EE router○ Containerized Ubuntu images in Docker compose with APT (Advanced Package Management) ○ Managed Ubuntu instances with Linux commands including: chmod files, and ps (process status) grep PID (Process Identifier), and nano / pico text editing ○ UDP (User Datagram Protocol) connected our MTS monitor reporting to AWS cloud storage with and AWS CLI (Amazon Web Services Command Line Interface)○ Stored development laboratory and approved client data in AWS RDS (Relational Database Service) with MySQL (My Structured Query Language) for valid sensor and gauge data○ Programmed JS in Spectron to evaluate our Electron (Atom Shell) tablet app and cross-platform desktop application built from a cross between our mobile app and website○ Created CRUD (Create, Read, Update, and Delete) MySQL (My Structured Query Language) for client data and customer accounts including automotive, medical, and industrial tooling○ Recreated DML (Data Manipulation Language) in MySQL (My Structured Query Language) for REST API (Representational State Transfer Application Programming Interface) verification

○ Programmed array streams and lambda parameter-expressions in Java 8 Platform SE (Standard Edition) and Groovy to keep consistency for the custom client solutions○ Requested endpoints of REST API (Representational State Transfers Application Programming Interface) in JDK 8 (Java Development Kit) to handle millions of transactions○ Utilized JAR (Java Archive) files developed from our Spring Boot applications configured with microservices that are event driven, reactive processed, and dependency inverted○ Deployed local Spring Boot web applications built with ORM (Object Relational Mapping) for patient data and IoC (Inversion of Control) with Java Beans for code reuse○ Annotated declarations in JDK 8 (Java Development Kit) annotations to further document and handle exceptions, warnings, and errors in Eclipse IDE (Integrated Development Environment)○ Managed response handling from enterprise messaging systems widgets to JSP (Jakarta Server Pages) for clients’ healthcare clinics and their centralized response team○ Performed CRUD (Create, Read, Update, and Delete) REST API (Representational State Transfer Application Program Interface) on SpringBoot JavaBeans with client data

○ Developed REST API (Representational State Transfer Application Programming Interface) endpoints for data points in the trillions of driver and vehicle statuses and performance values○ Tracked long haul trucking and last mile delivery with commercial CAN Bus (Controller Area Network) data from embedded I/O (Input / Output) ports into the C# (C Sharp) web application○ Stored client information into the ODS (Operational Data Store) and ETL (Extract Transform Load) toward the DW (Data Warehouse) to meet IFTA (International Fuel Tax Association) regulations○ Wrote and read SQL data types: char, varchar, binary, text (varchar varying), BLOBs (Binary Large Objects), boolean, smallInt, int, bigInt, float, double, date, datetime, timestamp○ Documented development of features and fixes in Atlassian Jira and Rally (CA Agile) PMS (Project Management Software) for SAFe (Scaled Agile Framework) retrospectives○ Processed CEP (Complex Event Processing) vehicles’ GML (Geography Markup Language) and drivers’ HOS (Hours Of Service) into On-Prem (On-Premise) PostgreSQL database servers○ Performed API requests in SOAP (Simple Object Access Protocol) with XML and REST (Representational State Transfer) with JSON in Postman IDE to verify responses○ Developed frontend navigation maps, hamburger menus, and kebab dropdowns made with Bootstrap CSS (Cascading Style Sheets) and HTML (HyperText Markup Language)