Freelancer profile translated to English.

Description

I am SIRINE SANDID, a senior freelance Data Engineer at STIME.

During my 7 years of experience, I have had the opportunity to work on various projects in the telecommunications and finance sectors, which has allowed me to tackle challenges with different types of data.

I have worked in agile environments with various business intelligence tools: Pyspark, Python, Databricks, DBT, Azure Cloud, DataLake Storage (GEN2), Azure Data Factory, Azure DevOps, IBM Cloud, Cos AWS, Hvault, Kubernetes, Spark, SQL, Tableau, Teradata, Airflow, Gitlab, Redash.

Industry field of expertise

Languages

Arabic
Native or bilingual
French
Native or bilingual
English
Native or bilingual
German
Basic

Workplace preferences

Can work on-site

Chelles (up to 50km)

STIME
Azure Data Engineer
AGRICULTURE
June 2024 - Today (2 years)
Châtillon, France
Context: Implementation of pipelines to centralize information, optimize customer contactability, and develop targeting strategies adapted to business needs.
- Develop DBT models to transform raw data into ready-to-use analytical data.
- Develop unit tests with DBT to validate the integrity of transformations.
- Migrate mount point reading processes to Unity Catalog.
- Create tables in UC to optimize data governance and access.
- Automate pipelines via Azure Data Factory.
Technologies: DBT, Unity Catalog, pyspark, Azure Data Factory, Azure Databricks, Azure DevOps, Data Galaxy
Unity Catalog Azure Storage Azure Data Factory DBT PySpark Azure Databricks
BNP PARISBAS Asset Management:
Senior Data Engineer
May 2022 - June 2024 (2 years)
Context: IT Reporting Solution/Client Reporting: Development of a pyspark job to calculate SRI performance scenarios and risk indicators for investment funds and migration to the Cloud.

- Collect and transform data from various sources to enrich funds.
- Calculate the share risk indicator and performance scenarios for investment funds.
- Develop unit tests.
- Participate in setting up CI/CD via Azure DevOps by integrating Sonar.
- Automate workflows with Airflow.
Cloud Migration: Migrate code to IBM Cloud.
- Participate in the creation of the Docker image, Helm chart.
- Optimize pyspark jobs and resource selection per job.
- Automate workflows with cronJob in Kubernetes.

Technologies: Python, Pyspark, HDFS, IBM Cloud, COS AWS, Kubernetes, Airflow, Azure DevOps, Docker, VAULT
Bouygues Telecom
Azure Data Engineer
December 2019 - May 2022 (2 years and 6 months)
2nd assignment: Context: Fixed Quality Unit / Data Squad: Retrieval and processing of data for Wifi-TV Boxes and analysis of customer satisfaction.
- Assist business units in their statistical studies.
- Collect and ensure data quality from ADLS GEN2.
- Create jobs for KPI calculation using pyspark on Databricks.
- Store calculated KPIs in ADLS GEN2 in delta Table format.
- Visualize KPIs in dashboards using Tableau Software.
- Automate pipelines with Azure Data Factory.
Technologies: Python, Pyspark, Cloud Azure, Databricks, Azure Datafactory, Tableau Software, Hadoop, SQL

1st assignment: Context: IP & TRANSPORT OPTIMIZATION: Creation of the IP data processing pipeline.
- Automate and orchestrate jobs via Azure Data Factory.
- Study business needs and create KPIs that meet their requirements.
- Analyze KPIs to understand root causes.
- Synthesize statistical information to make it accessible to business teams and save data in Azure Storage.
- Functionally document the created jobs.
Technologies: pyspark, Azure Data Factory, Azure Databricks, GIT, JIRA, SQL
Azure Data Factory PySpark Databricks Delta Lake