Ifeanyichukwu Onyechere
I am a Data and Analytics Engineer with experience helping organizations make sense of their data,
by transforming scattered, disorganised data into reliable systems for reporting and decision-making.
With experience across the data lifecycle, from ingestion and transformation to deployment
and monitoring, I deliver solutions that are efficient and reliable.
Alongside my technical work, I also teach/guide aspiring data professionals, which has strengthened my ability to
explain complex concepts in a simple way and collaborate across technical and non-technical teams.
I enjoy building and debugging data pipelines, teaching others, and solving infrastructure and data-related problems.
I am driven by curiosity, the opportunity to create impact through data, and a desire to empower organizations to thrive.
A cloud-native data engineering project designed to process and analyze large-scale e-commerce
event data in real time using AWS serverless technologies.
The goal is to transform raw customer interaction and transaction logs into optimized analytical datasets,
enabling faster business insights, scalable data processing, and cost-efficient infrastructure management.
A Terraform-managed, cloud-based data engineering project that
simulates real-time weather data streaming and processes it through Azure.
This project demonstrates how to build an analytics-ready streaming data pipeline on
Azure using databricks, infrastructure as code, key vaults secret management, and monitoring.
CivicPulse is a public sector data engineering and analytics initiative designed to transform
New York City's 311 service request data into actionable operational intelligence.
The goal is to identify the most common service requests across neighborhoods, uncover emerging
community needs, and enable city agencies to make faster, data-driven decisions.
VoxStocks is a real-time stock analysis and monitoring pipeline built to process
live trade data as it flows through the system. Data is ingested from data sources, routed to Kafka,
processed using Spark, and stored inside PostgreSQL database.
The pipeline is also continuously monitored with Prometheus and Grafana.
Triplens Global is a agency using analytics to turns public country data into travel-ready insights for
tourists and travelers exploring new destinations.
The goal is to help people quickly understand the essentials about a country before they make their move.
Key facts like region, language, currency, time zone, neighboring countries, and other helpful background
details that can influence planning and decision-making.
A cloud-native data engineering solution
designed to automate the ingestion, storage, and analysis of external data.
Using Snowflakes Snowpipe and external stage capabilities, data is automatically
ingested into Snowflake for transformation, analysis, and reporting.
It delivers a secure, and low-maintenance analytics platform that enables near real-time
business intelligence and faster decision-making.
