Data Pipeline Engineering
High-throughput ETL/ELT pipelines, robust data validation testing, automation workflows, and real-time streaming architectures.
Data Engineering Consultancy
Enterprise Data Infrastructure & Strategic Migrations.
We engineer production-grade data pipelines, govern complex cloud architectures, and execute seamless end-to-end migrations for global market leaders.
5+ yrsProduction Engineering
4Enterprise Engagements
3 cloudsGCP · Azure · AWS
USD · EUROperating Regions
Core Capabilities
Engineering disciplines, delivered as a service.
Three practice areas, one standard: production reliability, historical integrity, and measurable delivery speed.
System Centralization & Migrations
Unifying fragmented, legacy multi-affiliate data ecosystems into cloud systems — Salesforce, Certinia PSA, NetSuite — with absolute historical integrity.
AI-Assisted Delivery Management
Modern generative automation workflows to rapidly refactor legacy systems, build structural maps, and compress project delivery timelines.
Record of Execution
Engagements with global market leaders.
Five years of enterprise delivery across life sciences, global retail, telecom, and media analytics.
2025 — PresentLife Sciences
Professional Services Automation (PSA) Migration
ActiveProductLife Group · Global
Context
Executing a comprehensive data migration stream to centralize highly fragmented, legacy ERP and Excel structures into Salesforce and Certinia PSA.
Execution
Partnering with the internal Rollout Team to map historical data, handle peer-to-peer field mapping for mature affiliates, and build rigorous structural templates for complex data streams.
Azure SQL Server
Salesforce · Certinia PSA
SF Inspector
Azure Data Factory
2024 — 2025Global Retail
Global Retail Datamart & Analytics Platform
DeliveredCarrefour · France / Global
Context
Unified cross-border supply-chain metrics into a standardized global datamart serving the worldwide product catalog.
Execution
Built modular dbt models with incremental loading strategies that cut BigQuery operational costs; engineered dynamic LookML tokenization for 60-month period-over-period analysis; industrialized experimental notebooks into production Airflow pipelines with Pytest and SonarQube quality gates, using AI-assisted engineering to compress delivery cycles.
dbt
BigQuery
Looker · LookML
Apache Airflow
PySpark
GitLab CI/CD
2023 — 2024Telecom
Legacy Data Warehouse Cloud Migration
DeliveredBouygues Telecom · High-Availability Production
Context
Led the migration of legacy Teradata pipelines to BigQuery inside a high-availability production estate, with zero tolerance for reporting disruption.
Execution
Designed YAML-driven ETL/ELT workflows; integrated RabbitMQ message queues for high-volume ingestion; orchestrated micro-batch pipelines with Airflow and VTOM; provisioned infrastructure as code with Terraform and built event-driven Cloud Functions for automated processing and error notification.
BigQuery
Teradata
RabbitMQ
Apache Airflow
Terraform
Cloud Functions
2021 — 2023Media Analytics
Audience Measurement Data Lakehouse
DeliveredMarocmétrie · National TV Audience Measurement
Context
Established the organization’s Hadoop/Spark lakehouse on Delta Lake using the Medallion architecture (Bronze, Silver, Gold).
Execution
Delivered full-stack data products — FastAPI RESTful services with VueJS interfaces for efficient retrieval; automated workflows on Airflow with a Telegram-based monitoring system; deployed containerized applications with Docker across separated environments.
Spark
Delta Lake
FastAPI
VueJS
Apache Airflow
Docker
AWS · Lab
Twitter Pipeline & Terraform
Automated infrastructure deployment with Terraform; Airflow on EC2 processing and storing streams in S3.
Azure · Lab
Olympics Analytics Platform
ELT pipelines with Azure Data Factory, Databricks (PySpark), and Synapse Analytics for Tokyo Olympic data.
Core Technical Matrix
The stack behind the delivery.
Tooling selected for durability in enterprise environments — not novelty.
Languages
- Python
- SQL (T-SQL, PL/SQL)
- PySpark
- Bash
Cloud & Data Platforms
- GCP — BigQuery, GCS, Cloud Functions
- Azure — ADF, SQL Server, Databricks, Synapse
- AWS — EC2, S3
- Delta Lake · Hadoop / Spark
Orchestration & Quality
- Apache Airflow · dbt · VTOM
- Terraform · Docker
- GitLab CI/CD
- Pytest · SonarQube
- RabbitMQ
Enterprise Platforms
- Salesforce
- Certinia PSA
- NetSuite
- SF Inspector
Visualization
- Looker (LookML)
- Power BI
- Apache Superset
Company Credentials
- Entity
- Absillious Labs LLC — Registered in Wyoming, USA
- Filing ID
- 2026-002024241
- Services Focus
- Global / Cross-Border — USD & EUR regions
- Direct Line
- contact@absilliouslabs.com
Contact
Let’s align your data infrastructure with your operational goals.
Engagements open for Q3–Q4 2026. Response within one business day.