Chakib O.

Senior Data Architect with 10+ years of experience delivering modern data platforms using dbt, Databricks, BigQuery, and Snowflake. I design and implement scalable data pipelines, data warehouses, and lakehouse architectures on AWS and GCP, with a strong focus on data quality, performance, and cost optimization.

I work with companies to modernize their data stack, migrate from legacy ETL (Talend, Informatica) to cloud-native ELT, and build reliable, production-grade analytics platforms.

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Core Skills & Expertise

Data Architecture / Data Engineer / Data Platform

•Data Architect, Lead Data Engineer, Analytics Engineer

•Design of data platforms, lakehouse, data warehouse

•BigQuery, Snowflake, Databricks architecture

•Dimensional modeling, Data Vault, scalable schemas

dbt / ELT / Data Transformation

•dbt (core + cloud): modeling, testing, documentation

•Migration from ETL to ELT (dbt-first approach)

•SQL optimization, incremental models, performance tuning

Data Pipelines & Integration

•API ingestion, batch & streaming pipelines

•Tools: Talend, Informatica, NiFi, Glue

•Event-driven architecture (Kafka, Pub/Sub)

Cloud & Big Data

•Google Cloud Platform (BigQuery, GCS, Pub/Sub)

•AWS (Redshift, S3, Glue)

•Distributed data processing and large-scale datasets

Data Quality / Governance / MDM

•Data quality frameworks (tests, validation, profiling)

•Master Data Management (MDM)

•Data lineage & catalog (OpenMetadata)

DevOps & Infrastructure

•Terraform (Infrastructure as Code)

•CI/CD (Jenkins, GCP Cloud Build)

•Git workflows and deployment pipelines

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Technologies (Keywords Optimized)

Data Platforms

BigQuery • Snowflake • Databricks • Redshift

Transformation / ELT

dbt • SQL • Talend • Informatica • Apache NiFi • AWS Glue

Cloud

GCP • AWS

Streaming

Kafka • Pub/Sub

Databases

PostgreSQL • MySQL • Oracle • SQL Server • BigTable

Infrastructure &