About Me 

Hello! I'm Djawed BENZERDJEB. I'm passionate about technology and have a strong background in the field. Here, I‘ll share my experiences, skills, and the projects I‘ve worked on.

Profile

Cloud Data And Analytics Engineer 

BENZERDJEB Djawed

Hello there! I’m BENZERDJEB Djawed 👋, a Cloud Data and Analytics Engineer with a passion for transforming data into actionable insights. I embarked on my data journey in 2022, diving deep into cloud technologies and analytics frameworks. My expertise lies in designing scalable data pipelines, implementing data warehousing solutions, and leveraging tools like AWS, Azure, and Google Cloud Platform. I specialize in using tools like SQL, Python, and various ETL technologies to ensure seamless data integration and analysis. My experience also includes working with data visualization tools such as Tableau and Power BI, allowing me to present complex data in a digestible format. After a leadership role as a Project Lead, I returned to freelancing, collaborating on data-driven projects on Upwork. In 2024, I earned a certification in Cloud Data Engineering, enhancing my skills in managing and analyzing big data. I’m committed to staying ahead of industry trends and continuously expanding my knowledge. When I’m not working with data, I enjoy engaging with the data community and sharing insights. Feel free to reach out or explore my projects. Let’s unlock the power of data together!

My Skills

As an experienced Analytics Engineer, I possess a set of essential technical skills, including SQL, Python, and tools like Snowflake, Google BigQuery, Tableau, and dbt. These skills enable me to create robust and scalable data analysis solutions. Understanding of business challenges and data governance My strength lies in my ability to combine technical expertise with an understanding of business challenges. I am the ideal intermediary between data and business, capable of: Transforming data into actionable insights for decision-makers Aligning technical solutions with the company's strategic objectives Collaborating effectively with business teams Additionally, I am particularly attentive to aspects of data governance. I ensure: Data quality, security, and compliance Implementation of effective data management processes Promotion of a culture of responsibility in data usage This holistic approach allows me to create data analysis solutions that are not only technically sound but also perfectly aligned with business needs and compliant with data governance standards.

Experiences 

July 2023 - Present

Senior Cloud Data And Digital Analytics Engineer

ACCOR

January 2023 - June 2023

Cloud Data And Digital Analytics Enginner

LVMH BEAUTY TECH / DSI

February 2022 - December 2022

Emea Cloud Data And Digital Enginner

L'OREAL / DSI

January 2021 - December 2021

Data and Digital Engineer

CAMAIEU

March 2019 - December 2021

Data And Crm Consultant

SEPHORA

November 2018 - March 2019

IT Consultant

TRANSDEV

March 2018 - September 2018

Ingénieur R&D

FOCUS PATIENT

Certifications 

In 2024, as a senior data engineer, I dedicated over 200 hours to enhancing my skills in data management and architecture, with a particular focus on cloud technologies. My journey led to prestigious certifications, including Google Cloud Architect and Professional, as well as qualifications in dbt and Tableau Software. These achievements reflect my commitment to industry best practices and my ability to transform data into actionable insights. Throughout my career, I have spearheaded complex digital transformation projects, particularly in the retail and luxury sectors. I have designed robust and scalable data architectures, collaborating closely with multidisciplinary teams to align data solutions with the strategic goals of businesses. My holistic approach has enabled me to navigate effectively between technical needs and commercial priorities, ensuring a true synergy between technology and business objectives. With my mastery of modern tools and technologies, I am well-prepared to tackle complex challenges and drive innovation in the data field, maximizing the value of data for informed decision-making.

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