Hire the Best SimpleDB Specialists

Are your data pipelines failing silently, or is your cloud data warehouse bill spiraling out of control? I help data teams and startups design, build, and optimize reliable modern data platforms across AWS and GCP - ensuring zero data loss, predictable pipeline runs, and cost-efficient query performance. Core Focus Areas & Solutions: - Pipeline Orchestration & Modeling: Production-grade Apache Airflow DAGs, dbt transformations, modular ELT architectures. - Data Lake & Warehouse Design: Modern storage and modeling on Amazon Redshift, BigQuer, and S3. - Cost & Performance Optimization: Partitioning/clustering tuning, cluster resizing, query debugging, and infrastructure refactoring to reduce monthly cloud spend. - Automated & Resilient Ingestion: CDC ingestion, API connectors, error handling, automated alerts, and schema evolution handling. Tech Stack: Cloud: AWS (S3, Redshift, ECS, Lambda, IAM), GCP (BigQuery, Cloud Storage, GCF) Data Tools: Apache Airflow, dbt, Docker, Airbyte, Kafka Languages: Python (Pandas, Polars, PySpark), Advanced SQL, Bash Whether you need to migrate legacy pipelines, fix brittle ETL workflows, or optimize your data warehouse infrastructure from the ground up, let's connect and discuss your architecture.

Most data pipelines don’t fail because of code. They fail because they weren't built for scale. With 5+ years of experience engineering data systems at companies like Danone and Zurich, I help businesses transform fragile prototypes into resilient, production-grade infrastructure. I don’t just move data; I build the "Source of Truth" that leadership and AI systems actually trust. ➔ Productionizing AI Pipelines: Hardening Python prototypes into scalable RAG and LLM infrastructures (Azure). ➔ Infrastructure-as-Code: Building automated, modular ETL/ELT pipelines that don't require daily manual fixes. ➔ The "One-Source" Dashboard: Integrating messy data from APIs, SaaS (Shopify, HubSpot), and databases into clean Snowflake/BigQuery layers. ➔ Performance Recovery: Optimizing slow SQL queries and high-cost cloud warehouses to save you thousands in monthly spend. ➔ Technical Writing for Data & AI Teams: Creating product documentation, implementation guides, architecture documentation, data dictionaries, knowledge bases, and thought leadership content that makes complex systems easier to understand and adopt. 🛠 Tech Stack Languages: Python (FastAPI, Pandas, PySpark), SQL Data Engineering: ETL/ELT Pipelines, Data Warehousing, Data Modeling, Data Quality, Data Governance Cloud & Warehousing: Snowflake, BigQuery, Databricks, Azure Data Factory, Azure Data Lake, AWS (S3, Athena, Glue) Orchestration & Transformation: Apache Airflow, dbt Analytics & BI: Tableau, Power BI Development & Collaboration: Git, GitHub, VS Code Data Ops: API Integrations, Data Validation, Workflow Automation Technical Writing: Product Documentation, API Documentation, User Guides, Knowledge Bases, Data Dictionaries, Technical Blog Content ✅ Why Me? 5+ Years Experience: I've seen what breaks at the enterprise level and how to prevent it in your startup. Hands-On Builder & Technical Writer: I can both build the system and explain it clearly to engineers, stakeholders, and customers. Speed over Perfection: I focus on shipping high-impact systems that drive revenue, not just technical documentation. Transparent Communication: You get regular updates and a partner who challenges requirements to find better solutions. Ready to clean up your data debt?

📊 📊 10+ years of experience. Clean data. Dashboards that get used. Pipelines that don't break. I help startups and small businesses turn raw, messy data into clear insights and automated systems - so leadership can make faster, better decisions without drowning in spreadsheets. I cover the full analytics stack: from defining the right metrics and structuring data, to building reliable ETL pipelines, interactive dashboards, and ML models that drive real business outcomes. 💬 "Highly professional, technically strong, and reliable... His expertise in Apache Superset, Airflow, and data visualization was evident from day one. He helped to structure workflows efficiently and built meaningful dashboards." — Upwork Client 🔧 WHAT I DO 📈 Dashboards & BI — Interactive dashboards in Superset, Tableau, Metabase and Looker Studio. Built 40+ dashboards for product, ops, finance and marketing teams at VK and beyond. 🔄 ETL & Data Pipelines — End-to-end pipelines with Apache Airflow and Python. Automated ingestion, transformation, alerting and data quality monitoring. 🗄️ Data Engineering — ClickHouse data mart design (MergeTree, AggregatingMergeTree, Materialized Views), schema design, query optimization, and data quality monitoring dashboards. Experience reviewing and integrating ETL scripts from product teams into production pipelines. 🤖 Telegram Bots & Automation — Building production-grade Telegram bots with aiogram, automated workflows, scheduled pipelines, and Python-based process automation. From simple notification bots to complex multi-service systems. 🧹 Data Cleaning & Transformation — SQL and Python (Pandas) to turn messy exports into analysis-ready datasets. 📊 ML & Predictive Modeling — Scoring models, clustering, regression and forecasting. Built and deployed models in production at Credit Bank of Moscow and VK. 🔍 Ad-hoc Analysis & Reporting — Deep-dive analysis, A/B testing, funnel analysis, cohort analysis and weekly performance reports. 🧠 AI & LLM Workflows — Building production AI pipelines with GPT-4o-mini, LangChain, RAG systems, and vector search. Claude and GPT are part of my daily workflow — making delivery faster and cleaner. 🚀 FEATURED PROJECT — Telegram News Aggregator (Production) Built a fully automated news intelligence platform that collects, processes, and distributes content from 500+ Telegram channels across 4 languages. Hourly ETL pipeline collecting ~1,000 posts/day with AI-generated summaries and automated Telegram distribution Hybrid search (full-text + vector RAG) via FastAPI with multi-LLM response aggregation Telegram Mini App (React + TypeScript) for end-user content discovery BI analytics layer in Apache Superset over PostgreSQL 12 interconnected microservices orchestrated via Airflow (CeleryExecutor) Multi-threaded LLM processing with API key rotation — 3-5x speed improvement Diagnosed and fixed production PostgreSQL connection exhaustion incident Stack: Python · Airflow · PostgreSQL · GPT-4o-mini · LangChain · Weaviate · Elasticsearch · FastAPI · Docker · Redis · aiogram · Superset 🛠 TOOLS & STACK BI & Visualization: Apache Superset · Tableau · Metabase · Looker Studio · Dash Data & SQL: ClickHouse · PostgreSQL · MS SQL Python: Pandas · NumPy · Scikit-learn · CatBoost · aiogram · FastAPI Pipelines: Apache Airflow · Docker · Git · Redis AI & LLM: Claude API · GPT-4o · LangChain · Weaviate · Elasticsearch ML: Logistic Regression · CatBoost · Clustering · Forecasting Bots & Automation: Telegram Bot API · aiogram · Python automation scripts 🎯 MY PROCESS Understand your business goal → Define the right metrics → Clean and structure the data → Build reliable, scalable output → Hand over with documentation. No overengineering. No scope creep. Clean work, clear communication, fast turnaround. 📩 Send me your project — I'll come back with a clear plan and realistic timeline.

With over 4+ years of experience, I have worked with top-tier brands such as Cosco Wholesale, FPT, Airbus, delivering scalable, secure, and high-performance solutions. I specialize in data engineering, analytics, AI/ML, and LLM-powered solutions, focusing on building robust ETL pipelines, optimizing data workflows, and ensuring seamless data integration across platforms. My expertise spans cloud-native, serverless, and microservices architectures. For LLM I have deep expertise in LangChain/LangGraph, Prompt Engineering, ChatGPT APIs, GPT Models, RAGs, Vector Databases and AI orchestration frameworks. I have extensive hands-on experience in data engineering, working with tools like Apache Airflow, Talend, AWS Glue, dbt, and Spark for ETL and large-scale data processing. I have designed and optimized data lakes and warehouses on GCP, AWS and Azure, leveraging PostgreSQL, MySQL, MongoDB, and Cassandra for structured and unstructured data. My expertise includes real-time data streaming with Pub/Sub, Apache Kafka and Kinesis, ensuring high availability and performance. I also specialize in AI/ML-driven data automation, leveraging LLMs for intelligent processing. My visualization expertise spans Looker Studio, Power BI, Tableau, and Grafana, enabling the creation of insightful, data-driven dashboards. With strong DevOps knowledge, including CI/CD, Docker, Terraform, and cloud infrastructure automation, I ensure scalable and optimized deployments. I am ready to start immediately and happy to discuss how my expertise can support your project.

I am a Data Engineer with strong experience building end-to-end data pipelines, cloud data architectures, and automated analytics systems. I specialize in developing scalable ELT/ETL workflows using tools such as Airflow, dbt, Docker, Snowflake, PostgreSQL, MySQL, and AWS, and I’m proficient in Python for data extraction, transformation, and orchestration. My work spans containerized data platforms, real-time and batch pipelines, warehouse modeling (star/snowflake schemas), API integrations, and cloud-based analytics solutions. I’ve designed and deployed pipelines that synchronize databases, ingest external APIs (e.g., New York Times, Wikipedia), model complex datasets, and automate production-grade workflows across multiple environments. As a Kaggle Datasets Expert and Python developer with a passion for clean data design, I focus on creating reproducible, high-quality datasets, scalable architectures, and well-tested transformation layers. I enjoy translating business problems into technical solutions—whether designing ERDs, implementing dbt models, optimizing SQL queries, or orchestrating multi-stage workflows in Airflow. I’m also experienced in Power BI for visualization, enabling end-to-end delivery from raw data to insights. My goal is to build robust, maintainable pipelines that empower organizations to make better data-driven decisions.

Does your business generate tons of data but struggle to make sense of it? Smart businesses turn raw data into revenue-driving insights, and that is exactly where I come in. I architect robust, automated ETL/ELT data pipelines and transform complex datasets into clear, interactive dashboards. Whether you need a high-level business overview or deep operational metrics, I build the infrastructure that allows you to stop guessing and start scaling. My Core Technical Skillset: 1. Languages & Modeling: Python, SQL, Looker ML, DAX, dbt, Advanced Data Modeling. 2. Data Visualization: Power BI, Looker Studio, Tableau, Looker. 3. Pipelines & Automation: Airflow, Snowflake, BigQuery, n8n, Google Apps Script. 4. Business Applications: Google Sheets, Excel, AppSheet. How I Help Your Business Grow: Google Workspace Ecosystem: I engineer seamless data flows into BigQuery, build custom Looker Studio dashboards, automate workflows using Google Apps Script, and even develop custom internal apps via AppSheet. Microsoft Ecosystem: I integrate your disparate databases and Excel sheets into clean, highly responsive Power BI dashboards, utilizing advanced DAX and Power Query for deep analytical drill-downs. Cross-Platform Automation: I leverage tools like n8n and Airflow to ensure your data moves seamlessly across your entire tech stack without manual intervention. What You’ll Gain: 1. Interactive Dashboards – Track your most critical KPIs and performance metrics at a glance. 2. Data-Driven Decisions – Get the precise insights you need, exactly when you need them. 3. Seamless Integration – Unify your data across SQL, BigQuery, Snowflake, and third-party APIs. 4. Time-Saving Automation – Focus on business strategy while I handle the numbers, pipelines, and reporting. I deliver customized, scalable solutions tailored to your specific business needs. I've successfully helped businesses pivot to a data-first mindset, and I look forward to bringing that same clarity and control to your organization. Ready to make your data work for you? Let's connect and discuss your project.