Skip to content
View essidsolutions's full-sized avatar
:octocat:
Big Data Engineering, AI and ML
:octocat:
Big Data Engineering, AI and ML

Block or report essidsolutions

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Content in all repositories owned by your account will be closed.
Maximum 250 characters. Please don’t include any personal information such as legal names or email addresses. Markdown is supported. This note will only be visible to you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
essidsolutions/README.md

Mohamed Chedly Essid

Senior Data Platform Engineer · Lakehouse, Data Products & Multi-Cloud Platforms

Essid Solutions Unipersonal LDA · Lisbon, Portugal · essidsolutions.com

LinkedIn Email

12+ years designing and operating cloud-native lakehouse and analytics platforms across AWS, Azure, and GCP — banking, insurance, telecom, and enterprise consulting.

Certifications

  • Databricks Certified Data Engineer Professional
  • AWS Certified Data Engineer – Associate
  • Certified Airflow DAG Authoring (Astronomer)
  • Elasticsearch Certified Engineer

Tech focus

Apache Airflow · Apache Spark · Apache Kafka · Trino · Databricks · Docker · Kubernetes · dbt · Delta Lake · Apache Iceberg · BigQuery · Terraform · Data contracts · GDPR-aligned governance

Featured work

Repository Description
data-fabric-patterns Self-service ingestion, DDL generation, and governed data-product patterns
trino-sql-platform-patterns Trino/Starburst SQL workloads, materialized views, and cost guardrails
databricks-lakehouse-patterns Databricks jobs, Delta Lake maintenance, medallion notebooks, cluster policies
iceberg-lakehouse-patterns Apache Iceberg DDL, partitioning, and snapshot maintenance
kafka-streaming-patterns Kafka streaming ingestion, DLQ, dedup, IoT telemetry examples
gcp-bigquery-patterns BigQuery partitioning, incremental MERGE, Cloud Composer DAGs
lakehouse-terraform-kit Multi-cloud lakehouse IaC — Azure ADF/Data Lake and AWS Glue/S3 modules
airflow-platform-standards Standardised DAG factory and authoring guide for large orchestration estates
data-contracts-governance Data contracts, quality checks, lineage stubs, and PII handling patterns
data-platform-docker-starter Docker Compose local stack — Airflow, Postgres, MinIO S3-compatible storage
kubernetes-data-platform Kubernetes Spark CronJobs, ConfigMaps, and prod overlays for batch workloads

Currently

Building platform capabilities for governed data products and self-service ingestion on a global insurance data fabric programme — reusable Python libraries, orchestration standards, and GDPR-aligned access models across distributed engineering squads.

Open to

Senior individual contributor and technical lead roles in lakehouse / data platform engineering


Essid Solutions Unipersonal LDA · Registred in Portugal · TVA: PT516462121

Pinned Loading

  1. airflow-platform-standards airflow-platform-standards Public

    Standardized Airflow DAG factory and authoring guide for large orchestration estates

    Python

  2. data-contracts-governance data-contracts-governance Public

    Data contracts, quality checks, and GDPR-aligned governance patterns

    Python

  3. data-fabric-patterns data-fabric-patterns Public

    Self-service ingestion and governed data-product reference patterns (Python, Airflow)

    Python

  4. databricks-lakehouse-patterns databricks-lakehouse-patterns Public

    Databricks lakehouse patterns — Delta Lake jobs, medallion notebooks, cluster policies

    Python

  5. gcp-bigquery-patterns gcp-bigquery-patterns Public

    GCP BigQuery patterns — partitioning, incremental MERGE, Cloud Composer

    Python

  6. trino-sql-platform-patterns trino-sql-platform-patterns Public

    Trino/Starburst SQL platform patterns — workloads, materialized views, cost guardrails

    Python