- Data Platform Design & Architecture: Consulting and Designing Data Platforms, LakeHouses, Datalakes, and Modern Data Stack solutions. This includes Organization, Architecture, Modeling, Governance, Security, Monitoring, and Data Observability. Development and maintenance of the IT architectural strategy and enterprise vision, continually evaluating tech trends, business needs.

- Integration & High Availability: Designing and integrating existing systems, including BI, analytical and data science systems, with big data platforms. Ensuring high availability through BRP (Business Resumption Planning) and BCP (Business Continuity Planning), and designing highly available, reactive, real-time, secure, and governed solutions that maintain system integrity and continuity.

- Data Layer Design & Engineering: Designing data platform storage layers & zones. Designing ingestion, exchange, logging/archiving, modeling, and exposition features. I specialize in distributed/parallel scalable BigData/NoSQL architectures, coding and consulting on architectural designs. Data Engineering expertise includes Java/Scala/Python with tools such as AirFlow, Spark, DBT, AWS (EMR, GLUE, Athena, Lambda), and Databricks.

- Automation, DevOps & Industrialization: Leading the industrialization and automation of infrastructures and projects using DevOps practices, Infrastructure as Code, and MLOPS strategies. This includes implementing comprehensive engineering stacks and ensuring efficient CI/CD pipelines & IaaC for rapid and reliable deployment cycles.

- Requirements, Monitoring & Observability: Collecting business requirements and setting up both functional and technical solutions. This involves implementing monitoring, audits, and data observability mechanisms to ensure system reliability, security, and governance while providing actionable insights through data metrics and analytics.

- Technical Writing & Presentations: Engaging in pre-sales activities and writing detailed technical specifications. Serve as a Technical Keynote speaker and trainer, deliver presentations that communicate complex ideas clearly and effectively to diverse audiences, ranging from technical teams to executive leadership.

- Accompany teams: Accompany teams setting up & onboarding their use cases.

- Leadership & Planning: Coach, Lead, Estimate, Plan, Organize and monitor projects.

- Team Coordination: Animate meetings and motivate teams, Facilitate relations between and within teams.

- Communication: Communicate on the goals & visions and write reports to the top management.

- Release & Backlog Management: Prepare the releases, iterations and update the user stories and the backlog with the product owner.

- Product Breakdown: Split the product into Use cases and prepare the releases, then Split Use cases into tasks and prepares the iterations.

- Resource Management: Establishment of resources availability and of the production capacity tables.

- Indicators: Generating indicators like (BurnUp/Down charts, Team velocity, Tasks monitoring, Code Quality, Scope).

- Risk Management: Identifications and risks management.

- Platforms: AWS, Azure, Databricks, Dataiku, Cloudera, Confluent, Aiven, etc.

- Storage & Format: NOSQL: Cassandra, MongoDB, DynamoDB, CosmosDB, HBase, Redis, Postgres, RDS. FILE & Object storage : HDFS, S3, ADLS2, GCS. FORMAT : DeltaLake, IceBerg, Parquet, YAML, AVRO, CSV, XML, JSON, etc.

- Processing & Streaming: Kafka, Kinesis, EventHub, Spark, HADOOP, AWS Glue, EMR, DMS, Lambda, EKS, DBT, Talend, etc.

- Consumption & Exposition: Athena, Impala, Trino/Presto, GraphQL/REST, PowerBI, Tableau, QuickSight, SageMaker.

- Automation & Scheduling: Docker, Airflow, Ansible, CloudFormation, Azure DevOPS, Jenkins, Terraform.

- Environments: OnPremise, Cloud, Multi-Cloud, Hybrid architectures.

- Languages: Python, Scala, Java, SQL, CQL, JS.