Tafsuth Boumali
Verified Expert in Engineering
Data Developer
Fonsorbes, France
Toptal member since November 1, 2021
Tafsuth is a hands-on engineering manager with 12 years across the full spectrum of data engineering. From real-time streaming pipelines at startups to petabyte-scale lakehouse architecture, she designs, builds, and delivers. She leads teams, owns the technical vision, and ships production data infrastructure that teams actually trust and use.
Portfolio
Experience
- Data Engineering - 10 years
- Databases - 10 years
- Data - 10 years
- Big Data - 6 years
- Docker - 5 years
- Scala - 4 years
- Amazon S3 (AWS S3) - 4 years
- Apache Kafka - 4 years
Preferred Environment
MacOS, GitHub, Amazon Web Services (AWS)
The most amazing...
...data platforms are the ones nobody notices—they just work. I build those. Hands-on, from architecture to code, until it ships.
Work Experience
Senior Data Platform Manager
Confidential - Banking Industry
- Designed and delivered a multi-petabyte Apache Iceberg lakehouse from scratch, serving analytics and product teams across the organisation.
- Implemented CDC ingestion pipelines via Kafka Connect, guaranteeing sub-minute data freshness across all analytics-grade datasets.
- Built self-serve pipeline tooling using dbt and Airflow, reducing analyst dependency on engineering for routine data work.
- Engineered real-time streaming analytics using RisingWave and Flink, enabling sub-second query latency over live event streams.
- Pioneered agentic AI tooling to automate pipeline creation, cutting manual setup time significantly across two data engineering teams.
- Led and grew two specialised data engineering teams totalling 10 engineers, defining platform strategy, roadmap, and delivery cadence.
Pricing Engineering Manager
Heetch
- Rewrote the legacy pricing engine from scratch with my team.
- Created the team from scratch to maintain and evolve the new engine.
- Developed tools to monitor the performance and worked with product owners to enhance the engine.
Data Engineering Manager | Tech Lead
Heetch
- Designed, wrote, and maintained real-time streaming pipelines, enriching and aggregating raw data coming from multiple different sources.
- Implemented and designed a service to be able to predict and prevent users' bad behaviors in real-time.
- Got rid of third-party data synchronization and transformation pipelines by writing our own custom pipelines.
- Managed a team of four data engineers and did carrier reviews and handling rituals.
- Communicated with stakeholders and data analysts and data scientists to monitor the success of new initiatives.
- Advocated on schema management across the whole company.
- Provided tools to generate schemas, used them to validate the mobile messages; handled enrichment, storage, and exposition.
Data Engineer
Jada Gaming SL
- Developed streaming applications to allow the integration of customers into a CRM.
- Developed streaming applications to trigger CRM journeys based on user's accomplishments.
- Handled communication between my team and all the other departments.
Senior Software Engineer
Audela
- Built real-time accurate network state view of physical, logical, and service topologies for telco operators.
- Oversaw the full CI/CD infrastructure automation, deploying to Kubernetes.
- Leveraged graph databases for storage and exposition.
Data Engineer
Societe Generale
- Designed and built a data lake that would store daily stock exchange orders.
- Built pipelines allowing real-time data enrichment with Apache Ignite.
- Met with stakeholders and translated their business needs into technical specifications.
BI Engineer
Carrefour
- Managed high-volume databases (SQLServer and Oracle).
- Worked on the development and evolution of BI infrastructures (SSIS).
- Did data analysis and development of reporting exposed on a web portal (SSRS).
Experience
Real-time Event Validation
My responsibility was to replicate what the Confluent Schema registry does but with JSON (at that time the JSON validation wasn't handled by the Confluent tool).
Education
Master's Degree in Information Systems
Paris Dauphine University - Paris
Skills
Libraries/APIs
REST APIs, Circe
Tools
Kafka Streams, Apache Avro, Amazon Redshift Spectrum, ScalaTest, Apache Airflow, GitHub, Apache Maven, SBT, Mesos, Spark SQL, Apache Ignite, Cloudera, Shell, Amazon Simple Queue Service (SQS), Apache Iceberg, Flink, Amazon Athena, Superset, Amazon QuickSight
Languages
SQL, Java 8, Scala, Java, Go, Python
Paradigms
Business Intelligence (BI), ETL
Platforms
Apache Kafka, Amazon Web Services (AWS), Docker, MacOS, JVM, Dataiku, Kubernetes, Oracle, Azure, Debezium
Storage
Redshift, Databases, Amazon S3 (AWS S3), Relational Databases, Database Management, PostgreSQL, HDFS, SQL Server 2000, Cassandra, MariaDB
Frameworks
Spark, Marathon, Hadoop
Other
Data, Big Data, Data Engineering, Data Analysis, Data Modeling, Data Analytics, ELT, Governance, Modeling, Data Warehousing, CI/CD Pipelines, Shell Scripting, Data Architecture, Data Build Tool (dbt), Finance, SSIS Custom Components, Springbot, risingwave, Amazon RDS, Leadership, Rising Wave
How to Work with Toptal
Toptal matches you directly with global industry experts from our network in hours—not weeks or months.
Share your needs
Choose your talent
Start your risk-free talent trial
Top talent is in high demand.
Start hiring