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I am a Senior Data Engineer with over 10 years of experience designing scalable ETL pipelines using Python, SQL, Snowflake, DBT, and Microsoft Fabric to deliver enterprise-grade data solutions across Azure, AWS, and GCP. I excel in Medallion Architecture, data lakehouses, and real-time analytics, helping logistics and telecommunications clients like Verizon, Ford, and Amazon reduce data latency by 40%+. I am proficient in data operations (CI/CD, governance) and BI (Power BI, Tableau), with advanced skills in SSIS, Apache tools (Kafka, Airflow), and IaC (Terraform). I bring a proven ability to deliver rapid, high-impact results in both contract and permanent roles.…I am a Senior Data Engineer with over 10 years of experience designing scalable ETL pipelines using Python, SQL, Snowflake, DBT, and Microsoft Fabric to deliver enterprise-grade data solutions across Azure, AWS, and GCP. I excel in Medallion Architecture, data lakehouses, and real-time analytics, helping logistics and telecommunications clients like Verizon, Ford, and Amazon reduce data latency by 40%+. I am proficient in data operations (CI/CD, governance) and BI (Power BI, Tableau), with advanced skills in SSIS, Apache tools (Kafka, Airflow), and IaC (Terraform). I bring a proven ability to deliver rapid, high-impact results in both contract and permanent roles.

Hakim Ben Salem

Data Scientist, Data Analyst, Full Stack Developer, +2

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I am a Senior Data Engineer with over 10 years of experience designing scalable ETL pipelines using Python, SQL, Snowflake, DBT, and Microsoft Fabric to deliver enterprise-grade data solutions across Azure, AWS, and GCP. I excel in Medallion Architecture, data lakehouses, and real-time analytics, helping logistics and telecommunications clients like Verizon, Ford, and Amazon reduce data latency by 40%+. I am proficient in data operations (CI/CD, governance) and BI (Power BI, Tableau), with advanced skills in SSIS, Apache tools (Kafka, Airflow), and IaC (Terraform). I bring a proven ability to deliver rapid, high-impact results in both contract and permanent roles.…I am a Senior Data Engineer with over 10 years of experience designing scalable ETL pipelines using Python, SQL, Snowflake, DBT, and Microsoft Fabric to deliver enterprise-grade data solutions across Azure, AWS, and GCP. I excel in Medallion Architecture, data lakehouses, and real-time analytics, helping logistics and telecommunications clients like Verizon, Ford, and Amazon reduce data latency by 40%+. I am proficient in data operations (CI/CD, governance) and BI (Power BI, Tableau), with advanced skills in SSIS, Apache tools (Kafka, Airflow), and IaC (Terraform). I bring a proven ability to deliver rapid, high-impact results in both contract and permanent roles.

Available to hire

I am a Senior Data Engineer with over 10 years of experience designing scalable ETL pipelines using Python, SQL, Snowflake, DBT, and Microsoft Fabric to deliver enterprise-grade data solutions across Azure, AWS, and GCP.

I excel in Medallion Architecture, data lakehouses, and real-time analytics, helping logistics and telecommunications clients like Verizon, Ford, and Amazon reduce data latency by 40%+. I am proficient in data operations (CI/CD, governance) and BI (Power BI, Tableau), with advanced skills in SSIS, Apache tools (Kafka, Airflow), and IaC (Terraform). I bring a proven ability to deliver rapid, high-impact results in both contract and permanent roles.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Language

English

Fluent

Work Experience

Senior Data Developer at Accenture

August 1, 2021 - Present

Architected scalable ETL pipelines using Python (PySpark, Pandas) and SQL, leveraging Azure Data Factory and Databricks to integrate APIs, IoT logs, and SQL Server data for clients such as Verizon and Ford, achieving a 40% reduction in data latency. Built Snowflake data models with DBT, automating incremental loads and star schemas for logistics analytics, delivering 45% faster query performance. Implemented Microsoft Fabric Lakehouse solutions with Fabric Pipelines and Spark Notebooks to process real-time shipping data, enhancing delivery efficiency by 40%. Designed Medallion Architecture-based data lakes (Bronze/Silver/Gold) across Azure Data Lake, AWS S3, and Microsoft Fabric OneLake to streamline analytics for supply chain KPIs. Automated ETL workflows with DBT, SSIS, and AWS Glue, and implemented CI/CD with Azure DevOps and GitHub Actions, reducing deployment errors by 30%.

Senior Data Developer at Assurant, Inc.

May 1, 2019 - August 1, 2021

Engineered ETL pipelines using Python (PySpark), SQL, and Azure Data Factory/Databricks, processing financial and claims data into Snowflake and Delta Lake, improving throughput by 30%. Developed DBT models for Snowflake, creating reusable transformations and star schemas, enhancing data accuracy by 25%. Automated data ingestion with Azure Logic Apps and Event Hub, reducing manual processes by 25%; skills extensible to Microsoft Fabric orchestration. Optimized SQL queries and indexing in Snowflake, cutting ETL processing times by 30% for high-volume datasets. Deployed CI/CD pipelines in Azure DevOps for Python/SQL workflows, ensuring reliable data operations in Agile sprints. Built Power BI dashboards with advanced DAX, delivering insights for financial and operational stakeholders. Integrated Tableau with BigQuery for ad-hoc analytics, providing insights into customer behavior trends.

ETL / Power BI Developer at American Airlines

March 1, 2014 - May 1, 2019

Designed ETL pipelines using SSIS, Azure Data Factory, and Spark SQL, integrating logistics data from Oracle, Excel, and flat files into Azure SQL and Data Lake. Automated reporting with SQL jobs and SSIS packages, streamlining monthly updates and reducing effort by 35%. Developed Power BI and SSRS dashboards using Python for preprocessing, monitoring transportation KPIs like route efficiency. Implemented dimensional modeling (Star/Snowflake Schemas) and SCD Type 1/2 mappings, enhancing data warehouse performance. Led migration of on-premises systems to Azure using AWS DMS, improving data reliability by 35% for logistics analytics.