Maamar Haddouche
@maamarhaddouche
Skilled Data Platform Engineer and DevOps specialist with cloud expertise.
What I'm looking for
With over 5 years of experience, I am a dedicated Data Platform Engineer and DevOps specialist proficient in AWS, Azure, and Terraform for managing cloud infrastructure. I have a strong background in designing ETL pipelines, automating CI/CD processes, and utilizing Docker and Kubernetes to enhance operational efficiency. My journey has been marked by a commitment to delivering scalable analytics solutions and mentoring junior engineers in best practices.
At Capgemini, I architected and deployed cloud-native data platforms on AWS, significantly improving deployment times and reliability. My role involved developing high-performance ETL/ELT pipelines and establishing robust monitoring systems, which enhanced system observability and uptime. I thrive in collaborative environments, working closely with cross-functional teams to implement innovative solutions that drive business success.
Experience
Work history, roles, and key accomplishments
Data Platform Engineer & DevOps Specialist
Capgemini
Mar 2025 - Present (4 months)
Architected and deployed cloud-native data platforms on AWS, enabling scalable analytics solutions for enterprise workloads. Engineered high-performance ETL/ELT pipelines using PySpark on AWS EMR and AWS Glue, processing large-scale structured and semi-structured datasets.
DevOps Engineer
ISO Voyage Travel
Jan 2025 - Mar 2025 (2 months)
Designed and deployed a cloud-native web application platform on AWS for travel booking and customer management, ensuring high availability and scalability. Built and maintained CI/CD pipelines with AWS CodePipeline, CodeBuild, and GitHub Actions, streamlining web application updates and improving release reliability.
Quality Assurance Tester
Keywords Studios
Jan 2024 - Jan 2025 (1 year)
Executed functional, regression, and localization testing for AAA video game titles across multiple platforms. Identified, documented, and tracked bugs using JIRA and TestRail, collaborating with developers to ensure timely resolution.
DevOps / Data Engineering Specialist
Freelance Consultant
Feb 2023 - Jan 2024 (11 months)
Provisioned and managed cloud infrastructure on AWS using Terraform, enabling scalable and reliable application deployments. Implemented CI/CD pipelines with Jenkins and GitHub Actions, automating build, test, and deployment processes.
ETL Developer
SIG Group
Mar 2022 - Feb 2023 (11 months)
Developed and managed ETL pipelines using Apache Airflow and Python to automate data workflows, reducing manual processing time by 40%. Integrated data from multiple sources into AWS Redshift and PostgreSQL, supporting analytics and reporting needs.
Data Analyst
SIG Group
Mar 2021 - Mar 2022 (1 year)
Designed and maintained interactive dashboards using Power BI to visualize key performance indicators, aiding strategic decision-making. Performed data cleansing and transformation using Python (Pandas) and SQL, improving data accuracy by 25%.
Software Developer
Google Developers Group (GDG Algiers)
Jun 2020 - Jan 2021 (7 months)
Engineered and deployed full-stack web applications utilizing Django, React, and PostgreSQL, enhancing community engagement platforms. Developed RESTful APIs to facilitate seamless data exchange between front-end and back-end systems.
Education
Degrees, certifications, and relevant coursework
WSB University
Unknown, Computer Science (Cloud)
Currently pursuing studies in Computer Science with a focus on Cloud technologies. This program provides in-depth knowledge and practical skills in cloud computing, preparing for advanced roles in the tech industry.
Politechnika Bialystok
Unknown, Computer Science
Completed a program in Computer Science, gaining foundational knowledge in various aspects of computing. This education provided a strong base for further specialization in the field.
Nekkaz Academy For Education And Training
Unknown, Computer Science
Studied Computer Science, acquiring essential skills and theoretical understanding in the domain. This program laid the groundwork for a career in technology and software development.
Tech stack
Software and tools used professionally
Amazon Redshift
Splunk
Azure Synapse
Apache Spark
AWS Glue
GitHub
GitLab
Bitbucket
Kubernetes
Amazon EKS
AWS CodePipeline
Jenkins
GitHub Actions
GitLab CI
Pandas
PySpark
dbt
MySQL
PostgreSQL
MongoDB
Cassandra
Hadoop
Gmail
Node.js
Django
Redis
Terraform
AWS CloudFormation
Azure DevOps
Jira
JavaScript
JSON
Kafka
Grafana
Prometheus
Ubuntu
CentOS
Linux
macOS
Windows
Elasticsearch
Ansible
Amazon Aurora
NGINX
s3-lambda
Google BigQuery
SQL
TestRail
Availability
Location
Authorized to work in
Job categories
Skills
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