Managed AWS and in-house infrastructure for the company's global online store, with configuration, infrastructure, and secrets orchestrated across tens of thousands of servers using IaC

Supervised a team of contractors for weekly dev, stage, and prod deployments across all AWS organizations; troubleshot errors and documented deployment tracking for customers

Led the initial research, testing, and migration to AWS Graviton, resulting in annual server cost savings of tens of millions

Collaborated with cross-functional teams to integrate applications into infrastructure with CloudFormation, meeting performance and security standards

Built a monitoring tool to track and clean stale AWS resources, notifying employees of upcoming resource teardown

Contributed to the company's custom cloud deployment kit written in Go

Contributed to development of custom in-house deployment tool for server applications using Java and Spring Boot

Migrated legacy Oracle Coherence system to HazelCast, considering custom configurations within a standardized Spring Boot application wrapper

Implemented data serialization for efficient data read/write operations in cache systems

Modified and improved Ansible playbooks to automate provisioning of the application on their host servers and it's sentinel hosts

Gained expertise in datacenter operations, troubleshooting and triaging deployment issues across of servers

Managed a multi-datacenter Cassandra cluster on Google Cloud, overseeing billions records across eight tables

Built a semi-autonomous CI pipeline with Concourse, reducing deployment times by 50% through dependency caching and enforcing unit test coverage and security thresholds to enhance code quality

Used Google Dataflow and BigQuery to developed a data-validation application for legacy project migration to identify API discrepancies, reducing data errors by 99.96%

Transitioned some batch processes to real-time updates using Google Pub/Sub, enabling immediate updates to customer-facing data

Created a configurable Quartz scheduler with a RESTful API using Spring Boot to orchestrate Dataflow jobs, increasing deployment flexibility and speed

Built big data batch text-processing pipelines in Google Dataflow to efficiently inject records into Cassandra