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HakeemSalaudeen/README.md

Hi there! πŸ‘‹ I'm Abdulhakeem Salaudeen

Typing SVG

πŸš€ About Me

I'm a Data Engineer with hands-on experience designing, building, and managing scalable data pipelines and cloud-native solutions. I’ve worked across telecom and banking sectors, delivering mission-critical data infrastructure that powers insights and automation.

I hold certifications in AWS, Azure, and Microsoft Fabric, and I specialize in ETL/ELT, pipeline orchestration, data validation, and reporting.

I'm currently working on a telco data platform project and always open to collaborating or solving real-world data problems.

  • πŸ—οΈ AWS Certified Solutions Architect & Cloud Practitioner
  • πŸ“Š Specialized in cloud-based data solutions and advanced analytics
  • 🎯 Reduced manual tasks by 40% and improved team productivity
  • πŸ“ˆ Delivered business reports with 99.9% on-time rate
  • πŸ” Actively seeking remote opportunities to drive data-informed decisions

πŸ› οΈ Tech Stack

☁️ Cloud Platforms

AWS Azure Microsoft Fabric

πŸ’Ύ Databases

PostgreSQL MySQL MicrosoftSQLServer Amazon Redshift

πŸ”§ Programming & Tools

Python SQL Terraform Linux Git

πŸ“Š BIG Data & Analytics

Apache Spark Apache Airflow Power Bi Pandas


πŸ“ˆ GitHub Stats

GitHub Stats

Top Languages

GitHub Streak


πŸ† Certifications

  • πŸ₯‡ AWS Certified Solutions Architect - January 2025
  • ☁️ AWS Certified Cloud Practitioner - October 2024
  • πŸ“Š Microsoft Certified Fabric Analytics Engineer Associate - June 2024
  • πŸ”΅ Microsoft Certified: Azure Data Fundamentals - July 2024
  • πŸ”„ Azure Data Factory for Data Engineers - January 2024
  • πŸ“ˆ SQL for Data Analysis - July 2022
  • πŸ“Š Google Data Analytics - June 2022

πŸš€ Featured Projects

Migrated on-premises batch processing to AWS using S3, Glue, and Redshift Serverless

  • Tech: AWS S3, Glue, Redshift, CloudFormation
  • Impact: Enhanced reliability, scalability, and maintainability

End-to-end data engineering platform for tourist location recommendations

  • Tech: AWS Services, Python, SQL
  • Feature: Multi-data point analysis for smart recommendations

Comprehensive case study on data integration and ETL pipeline development

  • Focus: External data source integration
  • Platform: Medium publication with technical insights

Simple yet effective ETL process using Linux operating system

  • Tech: Bash, Linux, Shell Scripting
  • Learning: Fundamental ETL concepts implementation


πŸ“Š Activity Graph

Hakeem's github activity graph


🀝 Let's Connect!

LinkedIn Portfolio Medium Email


πŸ“ˆ Profile Views

Profile Views


πŸ’‘ "Turning data into insights, one pipeline at a time"

⭐ Don't forget to star my repositories if you find them useful!

Pinned Loading

  1. travel-agency-project travel-agency-project Public

    Extracting the data from the API | Writing the extracted data to the Data Lake | Extracting the final required attributes to Data Warehouse.

    Python 1

  2. CoreSentiments-project CoreSentiments-project Public

    This project is designed to reinforce my understanding of Data Pipeline Orchestration with Apache Airflow. The focus is on implementing a data pipeline that addresses data ingestion, processing, st…

    Python

  3. Data_Platform_Engineering_Case_Study Data_Platform_Engineering_Case_Study Public

    Forked from Nancy9ice/Data_Platform_Engineering_Case_Study

    HCL

  4. salesproject-batch-processing-on-AWS salesproject-batch-processing-on-AWS Public

    This repository contains Terraform code to deploy a serverless batch processing architecture on AWS, designed to replace an on-premises system with a scalable, reliable, and maintainable cloud solu…

    HCL

  5. Nancy9ice/Data_Platform_Engineering_Case_Study Nancy9ice/Data_Platform_Engineering_Case_Study Public

    HCL 1