SYSTEM_STATUS: ONLINE

Systems. Data. Interface.

Senior Engineer unifying three disciplines: Distributed backend architecture, streaming data pipelines, and full-stack web development. I build the infrastructure that scales and the UIs that perform.

View System Schematics

engineer.tf

resource "full_cycle_engineer" "anu_apiti" { capabilities = [ "Distributed_Systems", "Data_Engineering", "Full_Stack_Web" ] core_stack = { backend = ["Java", "TypeScript", "Python"] data = ["Kafka", "Airflow", "Spark"] platform = ["K8s", "AWS", "Terraform"] } impact = { throughput = "100k_tpm" uptime = "99.9%" } location = "Canada_Remote" }

Case Studies Systems I've Built

Displaying business metrics

Newclan Technologies · FinTech

Processing 100k+ Transactions/Min Event-Driven Stream Processing Architecture

Architected an event-driven analytics engine to handle high-velocity financial data streams with real-time processing requirements. AWS Kinesis → Lambda fan-out → Redshift sink. Partitioned by account_id for ordering guarantees. Uses exponential backoff with DLQ for failed records.

20% Cost Reduction <50ms P99 Latency

<1s Latency 128 Shards

100k TPM 1.6k RPS Peak

Tech Stack

AWS Kinesis Lambda Redshift Terraform Python CloudWatch

Pyypl · Series B

Settlement Microservice for $MM Volume PostgreSQL Advisory Lock Pattern

Optimized PostgreSQL locking strategies to improve API throughput by 46%. Replaced row-level locks with pg_advisory_xact_lock() + SKIP LOCKED for non-blocking concurrent settlements. Eliminates deadlocks in high-contention scenarios.

46% Throughput Gain 0 Deadlocks

-- Advisory lock pattern
SELECT pg_advisory_xact_lock(
hashtext('settlement' ||
account_id::text)
);
-- Process with SKIP LOCKED
FOR UPDATE SKIP LOCKED;

Tech Stack

Spring Boot PostgreSQL Kafka Kubernetes Java

Sterling Bank · Enterprise

Commodities Trading Platform Monolith → Microservices Migration

Led legacy modernization to microservices architecture with high availability. Strangler Fig pattern with API Gateway routing. Blue-green deployments via K8s. Database per service with eventual consistency via RabbitMQ events.

99.9% Uptime SLA 12 Services

Tech Stack

Java Docker Oracle DB RabbitMQ

Education Academic foundation & continuous learning

St. Lawrence College

2024 – 2025

Graduate Cert. Business Analytics

Advanced training in predictive modeling, data pipelines, and BI strategy. Bridging the gap between raw engineering and business logic.

Python SQL Tableau Predictive Modeling

Bloom Institute of Technology

2019 – 2020

Full Stack Software Engineering

Immersive 9-month curriculum focused on Computer Science fundamentals, System Architecture, and CI/CD pipelines.

System Design React Node.js

University of Lagos

BSc Mathematics & Education

Quantitative foundation in mathematical rigor, logic, and algorithmic thinking.

Algorithms Logic Statistics

Technical Arsenal Spec Sheet

Distributed Systems (Backend)

Data Engineering

Infrastructure (DevOps)

Distributed Systems (Backend)

Java Spring Boot

High-concurrency microservices, thread pool tuning

TypeScript Node/NestJS

Event-loop optimization, async patterns

Python FastAPI

Async endpoints, Pydantic validation

PostgreSQL

Advisory locks, query optimization, indexing

Data Engineering

Apache Kafka

Lag spike handling, partition strategies, consumer groups

Apache Airflow

DAG orchestration, dependency management, XCom

AWS Kinesis

Real-time stream processing, shard management

Spark PySpark

Distributed transformations, broadcast joins

Infrastructure (DevOps)

Kubernetes KCNA

Helm charts, HPA scaling, resource quotas

Terraform

Multi-region IaC modules, state management

AWS Lambda/ECS

Serverless patterns, cost optimization

Docker

Multi-stage builds, layer optimization

Professional Credentials

KCNA: Kubernetes Cloud Native AWS Cloud Practitioner Data Engineer Professional