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Hi there 👋, I'm Emmanuel.

I am a software engineer focused on data engineering, cloud devops engineering and architecting backend systems. I build scalable, robust data pipelines and cloud infrastructure.


Some things about me...

- 🌱 I’m currently learning more on Apache Kafka and building scalable and optimized cloud infrastructure.

- 👯 I’m looking to collaborate on data engineering and devops tasks

- 💬 Ask me about data engineering, software engineering and devops

Tech Stack

🧑🏾‍💻 Programming Language: Python, SQL, Scala

🧑🏾‍💻 Server side languages: FastAPI

🛠 Data Tool: PySpark, Pandas, Kafka, Redpanda, QGis, dbt, Airflow, EMR, Airbyte, Azure Data Factory, Databricksbr>
🏠 Transactional Databases: Postgres, Cassandra, DynamoDB

🏛 Data Warehouse: Amazon Redshift, Snowflake, Azure Synapse Workspaces

☁️ Cloud: AWS, GCP, Azure . I am also a certified AWS Solutions Architect Associate. I am also very proficient in Azure.

🛠 DevOps: Docker, Terraform, Git, Cloud formation templates, Github Actions (CICD), Kubernetes, Azure ARM, Makefile, Grafana, Prometheus, Jenkins

📊 BI Tool: Power BI, Metabase

📊 Cloud monitoring:Amazon cloudwatch, Dynatrace, Grafana, Prometheus

Anurag's GitHub stats

Offisong Emmanuel's Projects

airbyte icon airbyte

Airbyte is an open-source EL(T) platform that helps you replicate your data in your warehouses, lakes and databases.

aws-terraform icon aws-terraform

This is a repository for building a cloud infrastructure on terraform

cardiovascular-diseases icon cardiovascular-diseases

Here, I built a model that predicts the likelihood of cardiovascular diseases based on his blood pressure, pulse rate, Body mass index, systolic and diastolic blood pressure and some other factors. This model has a high level of accuracy. It also points the individuals danger zone and profers recommendations.

create-sql-databases icon create-sql-databases

This repository just contains code to create databases and tables. This is for people who want to create a large sql database but do not want to insert the records manually.

fifa-value-prediction icon fifa-value-prediction

Here, I deployed a model that predicts the value of a player based on some features like his age , potential,overall and wage using Gradient Boosting Regressor with 97% accuracy.I deployed the model using flask and heroku.

hashtagcashtag-de-project icon hashtagcashtag-de-project

My Insight Data Engineering Fellowship project. I implemented a big data processing pipeline based on ​lambda architecture​, that aggregates Twitter and US stock market data for user sentiment analysis using open source tools - ​Apache Kafka ​for data ingestions, Apache Spark ​& ​Spark Streaming ​for batch & real-time processing, ​Apache Cassandra f​ or storage, ​Flask​, ​Bootstrap and ​HighCharts f​ or frontend.

kafka-docker icon kafka-docker

A docker compose file for spinning up Kafka and Zookeeper

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