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haithem hcini

@haithemhcini

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Data Engineer at BNP Paribas building PySpark pipelines for daily financial reporting and migrating critical KYC data.

France

Message

At BNP Paribas, I design PySpark ETL pipelines that process financial data for regulatory reporting. I also migrated KYC data to Golden Source, established 10 quality controls, and deployed data-control pipelines across 19 countries.

At Beyond Insights, I designed an event-driven ingestion pipeline using AWS Lambda, S3, and EventBridge to replace traders’ manual form entry. I also automated AWS provisioning with Terraform and trained eight developers to use it.

Experience

Work history, roles, and key accomplishments

Current

Data Engineer Consultant

Current

BNP Paribas

Feb 2025 - Present (1 year 7 months)

Designed and developed PySpark ETL pipelines processing 300 GB of financial data daily for regulatory compliance. Migrated KYC data to Golden Source and deployed control data pipelines across 19 countries.

PySpark ETL Parquet S3 Autosys JIL Data Quality Data Mapping GoldenSource KYC Regulatory Reporting DevOps CI CD

Python Developer Consultant

Enedis

Aug 2023 - Jan 2025 (1 year 5 months)

Set up Hadoop, Scala, and Kafka pipelines for continuous processing of large-scale data flows. Automated deployments with Jenkins and Ansible, reducing production deployment time from half a day to under 30 minutes.

Python Hadoop Scala Kafka Jenkins Ansible Agile Jira Security

Python/Data Developer

Beyond Insights

Jun 2021 - Jun 2023 (2 years)

Automated provisioning of AWS Lambda functions using Terraform and designed an automated ingestion pipeline for traders. Developed serverless APIs and deployed applications on EC2 with CloudWatch monitoring.

Python AWS Lambda S3 EventBridge API Gateway Terraform EC2 Cloudwatch Django Angular REST APIs Data Pipelines

Python Developer

ODDO BHF

Jan 2020 - May 2021 (1 year 4 months)

Migrated .NET scripts to a Python/Django application and designed Power BI dashboards for tracking investment in metals. Automated financial data processing using Python, pandas, and SQL.

Python Django Power BI Pandas SQL Data Processing Automation