Tafsuth is available for hire

Tafsuth Boumali

Verified Expert in Engineering

Data Developer

Location

Fonsorbes, France

Toptal Member Since

November 1, 2021

Tafsuth is a highly efficient and dedicated professional with a broad software and data engineering skillset. Her career assignments have ranged from building real-time prediction pipelines for startups to leading project teams and designing and maintaining large data lakes for Fortune 500 companies. Tafsuth is interested in helping businesses make data-driven decisions, and she enjoys sharing her knowledge by mentoring engineers.

Data Engineering Data Analysis Data Modeling Data Analytics Big Data Databases Java 8 Relational Databases Database Management Business Intelligence (BI)Apache Avro Docker Apache Kafka Kafka Streams Amazon S3 (AWS S3)Database Clustering SBT Data Warehouse DBT (Data Build Tool)

Portfolio

Heetch

Springbot, Kubernetes, Kafka Streams, Apache Kafka, Go

Heetch

Scala, Java, Apache Kafka, Kafka Streams, Dataiku, Apache Airflow, Kubernetes...

Jada Gaming SL

Data Engineering, Apache Kafka, Azure, Amazon Simple Queue Service (SQS)

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

Availability

Part-time

Preferred Environment

MacOS, GitHub

The most amazing...

...thing I've created is a pipeline to validate the format and the content of millions of events coming from a mobile app in real time.

Work Experience

Pricing Engineering Manager

2022 - PRESENT

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.

Technologies: Springbot, Kubernetes, Kafka Streams, Apache Kafka, Go

Data Engineering Manager | Tech Lead

2019 - PRESENT

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.

Technologies: Scala, Java, Apache Kafka, Kafka Streams, Dataiku, Apache Airflow, Kubernetes, Marathon, Redshift, Amazon Redshift Spectrum

Data Engineer

2022 - 2023

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.

Technologies: Data Engineering, Apache Kafka, Azure, Amazon Simple Queue Service (SQS)

Senior Software Engineer

2017 - 2019

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.

Technologies: Apache Kafka, Spark, Apache Avro, PostgreSQL

Data Engineer

2016 - 2017

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.

Technologies: Spark, Spark SQL, Apache Ignite, Cloudera, HDFS

BI Engineer

2012 - 2016

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).

Technologies: Scala, Java, SQL, Shell, Oracle, SSIS Custom Components, SQL Server 2000

Experience

Real-time Event Validation

A streaming application that validates the content and the format of the event produced by the mobile application.

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).

Skills

Languages

SQL, Java 8, Scala, Java, Go, Python

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)

Paradigms

Business Intelligence (BI)

Platforms

Apache Kafka, Amazon Web Services (AWS), Docker, MacOS, JVM, Dataiku, Kubernetes, Oracle, Azure

Storage

Redshift, Databases, Amazon S3 (AWS S3), Relational Databases, Database Management, PostgreSQL, HDFS, SQL Server 2000, Cassandra

Other

Data, Big Data, Data Engineering, Data Analysis, Data Modeling, Data Analytics, Modeling, Data Warehousing, CI/CD Pipelines, Shell Scripting, Data Architecture, Data Build Tool (dbt), Finance, SSIS Custom Components, Springbot

Frameworks

Spark, Marathon, Hadoop

Libraries/APIs

REST APIs, Circe

Education

2007 - 2012

Master's Degree in Information Systems

Paris Dauphine University - Paris

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