I specialize in data engineering and cloud AI, with a strong foundation in ETL/ELT processes and data modeling. My experience includes internships where I applied modern cloud data tools, enhancing business intelligence insights. I have a solid command of Python, SQL, and Power BI, using these skills to drive effective data solutions and automation through Generative AI. I am eager to collaborate with clients looking to unlock the full potential of their data and transform insights into impactful decisions. Let's connect to discuss how I can help enhance your data operations and bring your projects to life.

I’m a Data Engineer with hands-on experience designing and building scalable, cloud-native data pipelines. I specialize in transforming complex data into reliable, production-ready datasets that drive business decisions. I’ve worked extensively with modern data stacks across GCP and Azure, building robust pipelines using python , SQL, BigQuery, Databricks, Airflow, ADF, and Terraform. My approach focuses on automation, maintainability, and performance optimization. What I Can Help You With -Build end-to-end data pipelines (ingestion → transformation → reporting) -Design and optimize BigQuery data warehouses -Develop workflows using Apache Airflow -Implement dbt models for clean and modular transformations -Automate infrastructure using Terraform -Process and transform data using PySpark / Databricks -Handle APIs, file ingestion (CSV, Excel, JSON, ZIP), and logging systems -Migrate pipelines from Azure → GCP -Create scalable, metadata-driven architectures

Enthusiastic and driven Data Engineer with a strong foundation in data modeling, ETL pipeline development, and data security. Proficient in SQL, Python, and cloud-based tools such as Snowflake, Matillion, and AWS S3. Skilled at collaborating cross-functionally to deliver scalable, data-driven solutions. Passionate about leveraging data to drive business insights and actively seeking opportunities to deepen expertise in data architecture and advanced analytics.

If your data pipelines are unreliable, your reporting is slow, or your team is still processing data manually — I'll fix that. I'm a Data Engineer with production experience building large-scale batch and real-time data systems for one of Africa's largest banks (Attijariwafa Bank, $13B+ in assets). I design and deliver pipelines that are fast, reliable, and built to scale. What I've delivered: ✅ Profitability engine consolidating financial data for 8 subsidiaries — runtime reduced by 40% ✅ Real-time streaming pipelines with Kafka & Spark processing millions of events daily ✅ End-to-end portfolio management platform deployed on AWS (ECS Fargate, RDS, CI/CD) ✅ Data quality frameworks reducing pipeline failures in production What I can build for you: ✔️ Scalable ETL/ELT pipelines — batch & real-time streaming ✔️ Data lake & lakehouse architecture (Medallion, Delta Lake) ✔️ Cloud data platforms — AWS, Databricks ✔️ Pipeline orchestration — Airflow, dbt transformations ✔️ Containerized deployments — Docker, Kubernetes, CI/CD Tech I work with daily: Spark (PySpark & Scala) · Kafka · Airflow · dbt · Python · SQL · Hive · PostgreSQL · AWS · GCP · Databricks · Docker · Kubernetes · Git I work closely with stakeholders — from engineers to C-level — to make sure what I build actually solves the business problem, not just the technical one. 📩 Send me a message and let's talk about your data challenge.

AI work. Having a scientific and mathematical background from a top level applied mathematics curriculum at University Paris-Saclay (Graduated Data engineer).

I am a Senior Data Scientist and Data Platform & Analytics Lead with over three years of experience in building advanced logistics data platforms and BI ecosystems. I specialize in Python, SQL, Spark, and AWS, creating efficient data workflows and integrations that maximize data quality and governance. My work has raised data quality to above 75% and accurately quantified significant cost-saving opportunities, including a EUR 1.8M net savings scenario. I am proficient in dbt, Airflow, and observability tools like OpenTelemetry, ensuring robust analytics operations. I thrive on turning complex data challenges into actionable insights, providing strategic solutions to boost efficiency and performance. If you're looking for a data expert who can drive impactful results, let's connect to discuss your project needs.

ML/Data Engineer with 5+ years of experience, designing, developing, and maintaining data and machine learning products. Expertise: proven track record of shipping data workflows, upgrading observability stacks and integrating best data practices in the already active development cycle. My experience extends to enhancing data products with techniques like reinforcement learning, emotion recognition and also visualizing and working with marine science data from public and private storages like GBIF, Copernicus etc. Background: with a degree in Information Systems Security I have a solid understanding of how NOT to do things. Impact-Driven: I'm passionate about not only delivering results but implementing systematic approach that will survive the test of time and real-world conditions. Passion: I spend my free time either looking at the underwater world directly or through the camra lens(all photos in this profile are done by me).

I am a seasoned Analytics Engineer and Data Engineer with over 15 years of expertise in transforming complex datasets into actionable insights and reliable reporting tools. My skill set includes advanced proficiency in SQL, Snowflake SQL, dbt models, and various BI platforms such as Power BI and SSRS. I have a strong record of optimizing data warehouse performance and ensuring data quality, which enhances reporting consistency and drives strategic decision-making. I excel in building scalable reporting layers and collaborating cross-functionally with product, operations, finance, and engineering teams. If you need robust data solutions and analytics that propel your business forward, let’s connect and discuss how I can support your objectives.

I design and implement robust data platforms, leveraging over 8 years of experience in fintech and enterprise environments. My expertise lies in building efficient ETL/ELT pipelines and cloud data warehouses, ensuring data quality and analytics enablement. I have a proven track record of improving data reliability, reducing infrastructure costs, and delivering decision-ready data that drives business impact. My initiatives have resulted in substantial cost savings in cloud credits, reduced incidents, and enhanced automation of analyst tasks. Fluent in both English and Spanish, I excel at collaborating with stakeholders to meet and exceed strategic goals. If you're searching for a data engineer who can elevate your data operations and unlock valuable insights, I am ready to help. Let's discuss how I can contribute to your success.

I help businesses turn complex data into clear, actionable results. With over a decade of experience in data engineering, machine learning, and cloud architecture, I specialize in building scalable pipelines, deploying ML solutions, and optimizing cloud infrastructure across GCP, AWS, and Azure. Clients come to me for: End-to-end data pipelines using Spark, SQL, Airflow, and dbt Scalable ML solutions including NLP, transformers, and ensemble models Secure, compliant handling of sensitive data (HIPAA, PHI/PII) Efficient cloud architecture and migrations across major platforms Business-aligned solutions that improve performance and reduce cost Recent highlights: Built an LLM-powered PHI detection system combining BioBERT, ClinicalBERT, and NER for healthcare data pipelines Developed GPS-driven labor analytics tools for fleet management, mapping technician movement to work order efficiency Migrated over 10TB between AWS and GCP with custom parallelized scripts, solving complex pathing and rename issues If you need someone who can build reliable systems, solve tough problems, and align tech with business outcomes, let's connect.