I’m a developer experienced in building websites for small and medium-sized businesses. Knows PHP, JavaScript, Python, Symfony, React, MySQL, MongoDB

I am a data engineer with 10+ years of experience. * C1 Advanced English level; * Data extraction and scraping (python/scrapy) * Data cleaning and validation; * Data Analysis & Data Visualizations (grafana, Google Data Studio, Forest admin); * Devops tasks & infrastructure management (Terraform, Amazon, Heroku, GCP) * Machine learning algorithms (GAN, topic modeling, face recognition, text generation with GPT-2 or GPT-3) * Python, bash, SQL scripting; * React; * Postgresql, MongoDB, Elasticsearch, Clickhouse, HANA; * Docker, git flow, 12 factor apps (12FA); * Django vesrion upgrades.

I am a highly skilled and experienced DevOps Engineer with expertise in AWS, Infrastructure as Code (IaC) using AWS CDK TypeScript | Pulumi, Kubernetes multi-tenancy using vCluster combined with Karpenter, KEDA, and EKS. I also have extensive knowledge in building and managing Apache Airflow platforms on EKS and developing Kubernetes manifests as code using CDK8S. Additionally, I possess strong automation skills using Python and Bash shell scripting. ✅ Designed, implemented, and maintained AWS infrastructure for multiple projects using AWS CDK TypeScript. ✅ Implemented Kubernetes multi-tenancy using vCluster combined with Karpenter, KEDA, EKS and ArgoCD. ✅ Set up and managed Apache Airflow platforms on EKS for workflow automation and scheduling. ✅ Created Kubernetes manifests as code using CDK8S for streamlined deployment and management. ✅ Experienced in migration of an on-premises PostgreSQL database to RDS Aurora Serverless V2 ✅CICD: Gitlab CI, Github Action, Codepipeline, Jenkins, Azure Devops.

Are you struggling with messy, unreliable data? Spending hours on manual reports that should run automatically? I fix that. I am a Big Data Pipeline Engineer with hands-on experience building end-to-end automated data systems using Apache Spark, Airflow, Kafka, dbt and ClickHouse. I design production-grade pipelines using the Bronze → Silver → Gold medallion architecture that processes millions of records reliably, every single day — with zero manual work. ═══════════════════════════════════════ WHAT I BUILD FOR YOU ═══════════════════════════════════════ ✅ Automated ETL/ELT pipelines that run without manual work ✅ Real-time streaming systems with Apache Kafka ✅ Big data processing with PySpark at any scale ✅ Data warehouses in ClickHouse, Snowflake or BigQuery ✅ Analytics dashboards in Apache Superset and Power BI ✅ Data quality and testing systems with dbt ✅ Bronze → Silver → Gold medallion architecture ✅ PostgreSQL to data lake migration pipelines ═══════════════════════════════════════ RECENT PROJECT EXAMPLE ═══════════════════════════════════════ Built a complete Audit Risk Scoring Pipeline for a government revenue authority: → Extracted 500,000+ taxpayer records from PostgreSQL → Processed through Bronze Silver Gold layers with PySpark → Calculated risk scores using dbt transformations → Stored results in ClickHouse analytics warehouse → Automated everything with Apache Airflow daily schedule → Built executive dashboard in Apache Superset Result: Auditors now identify high-risk taxpayers in minutes instead of weeks. Pipeline runs fully automated — zero manual work required. ═══════════════════════════════════════ MY FULL TECHNICAL STACK ═══════════════════════════════════════ 🔥 Processing: Apache Spark (PySpark) · dbt · Pandas ⚡ Orchestration: Apache Airflow 🌊 Streaming: Apache Kafka · Spark Streaming 🏪 Data Warehousing: ClickHouse · Snowflake · BigQuery 🗄️ Data Lake Storage: AWS S3 · Google Cloud Storage 🐍 Programming: Python · SQL 🐘 Databases: PostgreSQL · MySQL · MongoDB 📊 Visualization: Apache Superset · Power BI 🔁 Reverse ETL: Hightouch · Census 🐳 DevOps: Docker · GitHub Actions · Git ═══════════════════════════════════════ SERVICES I OFFER ═══════════════════════════════════════ 1. End-to-End Pipeline Build Full pipeline from source to dashboard 2. Real-Time Streaming Pipeline Kafka + Spark Streaming setup 3. dbt Transformation Project Models, testing and documentation 4. Analytics Dashboard Build Apache Superset connected to warehouse 5. Data Warehouse Setup ClickHouse or Snowflake setup 6. Pipeline Audit and Fix Fix your broken or slow pipeline ═══════════════════════════════════════ WHY WORK WITH ME ═══════════════════════════════════════ ✔ I deliver working code — not just plans ✔ I write clean, documented, maintainable code ✔ I communicate clearly and respond within 24 hours ✔ I test everything before delivery ✔ I explain technical things in simple business language ✔ I focus on solving your business problem first If you need a reliable data engineer who understands both the technical and business side of data pipelines, let us talk. Send me a message and I will respond within 24 hours.

An enthusiast loves to work in the creative environment aiming to enhance my horizon.

Extensive software development experience for more than 20+ years (Golang, Python, PHP, and Cloud Native architecture). Significant expertise in cloud security (AWS, GCP, Alibaba Cloud, Azure), Linux, architecture design and implementation, advanced development, and expertise, as well as tremendous experience in video processing (FFmpeg, streaming, GPU encoding). I like complex projects, including high-load projects with some data processing, project management, and troubleshooting. I understand the business and business requirements.

I build and run the AWS and Kubernetes platforms that product teams actually want to work on. I'm a platform engineer and SRE working on AWS, EKS, and Kubernetes. Currently operating a multi cluster EKS platform, where I author the Helm charts and automation the rest of the org uses for node provisioning, cost optimization, and observability. What I do day to day • Design and run production EKS platforms on AWS (EC2, RDS, NLB, CloudFront, IAM, KMS, S3) • Karpenter and cluster autoscaling, including a hibernation system I built that's now in production across 10+ clusters • GitOps at scale with ArgoCD (managing 130+ projects today) • Observability stacks: Mimir, Grafana, OTel collectors, ClickHouse, CloudWatch exporter • CI/CD pipelines (Jenkins, GitLab, GitHub Actions) and infrastructure as code (Terraform, Pulumi, Helm) • Writing the tooling that fills the gaps: Python and Go CLIs, Helm charts, upgrade validation Background • 6+ years in DevOps and SRE, including platform engineering roles at a European telecom and BexenTech • AWS DevOps Engineer Professional and AWS Solutions Architect Associate certified • CNCF contributor (Strimzi, Glasskube) • Based in Rotterdam. Happy with remote, EU time zones. I work best on mid to long term engagements where I can own a platform end to end and ship real improvements. Open to a few hours a month of consulting alongside my full time role. If you're scaling on AWS and Kubernetes and need someone who's been in the on call rotation, let's talk.

Full-stack developer with over 10 years of experience and passion for creating high-performance, user-friendly solutions. ✔ E-Commerce: 6+ years of experience in building eCommerce websites by using Shopware 5 and Shopware 6 (300+ plugins and templates developed in total) ✔ Web Applications: development of web applications by using Symfony (3,4,5,6,7) and experience in data synchronization plugins/projects ✔ Primary skills: PHP, SQL, JavaScript, HTML(5), CSS(3) ✔ Advanced skills: Shopware 5, Shopware 6, Symfony7, Symfony6, Symfony5, Symfony4, Symfony3, Doctrine, PostgreSQL, MySQL, ElasticSearch, Clickhouse, OOP, Design Patterns, Redis, RabbitMQ, Git, API (Rest, Soap), Smarty, Twig, Jquery, ExtJs My key approaches in work are: ✔ Commitment to delivering tangible results and achieving success in every project ✔ High focus on code quality and thorough testing ✔ Transparency and open communication ✔ Proactiveness in identifying and addressing issues ✔ Continuous learning to stay up-to-date with the latest industry trends

Senior Data Engineer specializing in building data lakehouses and batch/streaming pipelines from the ground up on GCP, primarily in fintech and agritech. Experienced across the full platform stack: ingestion with Apache Beam/Dataflow, orchestration with Airflow, transformation with Dataform, and infrastructure with Terraform. Focused on delivering reliable, cost-efficient data platforms that directly serve analytics, risk and operations teams.

Highly organized and analytical professional with over five years of experience in predictive modeling, segmentation, campaign performance analysis, product analytics, and data manipulation, analysis, and visualization. I bring valuable expertise to data-driven roles, with strong problem-solving skills and a consistent record of delivering meaningful, data-backed insights that drive impactful results. Work experience: 1) User behavior analysis on the platform to identify opportunities for product optimization and enhance user experience. 2) Product analysis to assess the effectiveness of product features, tracking key metrics such as user engagement, feature adoption, and user retention. 3) Creation of reports and data visualizations using Superset, providing insights into product performance, user segments, and marketing initiatives. 4) Collaboration with product managers, marketing leaders, and various internal stakeholders to tackle complex business issues, offering analytical insights and strategic recommendations that drive decision-making. 5) Leading A/B testing initiatives for product teams and orchestrating experiments to enhance user experience and elevate key performance indicators. Always looking for a creative challenge, I look forward to hearing from you on how we can collaborate to solve your business problems or tell an effective data story together.