Alex Oparaoji
Data Analyst and Engineer with a Passion for Automation and Insights
Work
Hi, I’m Alex, an applied-math grad who traded proofs for pipelines and now moonlights as a full-stack problem-slayer. By day I wrangle cloud infrastructure, automation APIs, and the occasional rogue container; by night I tinker with computer-vision side-quests (ever solved a Sudoku in 1.5 seconds?). My career has been one big math-meets-maker adventure, and I’ve loved every deploy-induced adrenaline rush along the way.
At Federal Home Loan Bank of Chicago, I kept mission-critical banking ops humming. I carved a 60 % chunk out of mean-time-to-resolve by wiring up an event-driven alerting mesh with AWS Lambda, SQS, and xMatters, then banished manual release drudgery with containerized Azure DevOps pipelines that ship Jobs-as-Code straight into Control-M prod folders, streamlining processes across CI/CD pipelines and data management workflows. When auditors came knocking, my tamper-proof TLS integrations and “one-click” wiki docs were already waiting for them. Somewhere between audit drills I published ceeteem, a Python SDK that slashes Control-M boilerplate by 80 % and lets CI pipelines deploy jobs in under five minutes (because good tools should set themselves up and get out of your way). These experiences have honed my ability to work at the intersection of analysis, automation, and infrastructure—a skillset that would directly benefit your team.
Previously at Amdocs, I juggled blue-green deployments, Kubernetes hiccups, and Kafka mood swings for a telecom giant. I improved system reliability by analyzing data from distributed systems like Kubernetes and Kafka, resolving anomalies that resulted in a 30% reduction in downtime. My proficiency in extracting insights from complex datasets is complemented by my ability to present these findings through intuitive dashboards and reports, ensuring stakeholders can act decisively on real-time insights.
The origin story? A sprinkle of machine-learning gigs and a startup detour. I’ve built temperature-visualization backends, trained YOLO detectors for emergency vehicles, and even helped a blockchain food-tech company spin up cloud infra on GCP—all before coffee cooled. Toss in a stack of AWS/Azure badges and an unhealthy obsession with data pipelines, and you get a technologist who’s happiest turning tricky ideas into elegant, automated reality. Whether building predictive models or designing scalable ETL workflows, I focus on creating solutions that not only solve immediate problems but also contribute to long-term business strategies.
About
Hi there! I'm a tech enthusiast with a love for solving complex problems and exploring the intersection of Python and mathematics. Whether it's building robust systems, diving into the latest tech discoveries, or tackling equations, I’m always eager to learn and apply new ideas.
When I’m not geeking out over code, you’ll find me on the basketball court, perfecting my jump shot or enjoying the thrill of a good game. I thrive in fast-paced environments where multitasking is the name of the game, and I’m passionate about teaching and sharing knowledge with others.
In everything I do, I bring a curious mind, a love for learning, and a drive to make an impact. Let's connect and create something amazing together!
Contact
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