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I am a Software Engineer specializing in enterprise data infrastructure and large-scale web automation systems. With 4+ years of engineering experience, I architect robust, maintainable data pipelines that power business intelligence at scale. 🎯 Core Competencies: • ETL Architecture: Designing production-grade data pipelines (Python/TypeScript) with automated validation, schema enforcement, and error handling • Anti-Detection Engineering: Bypassing enterprise-grade protections (Cloudflare, Akamai, DataDome) with 95-99% success rates using headless browser clusters and request fingerprinting • Data Infrastructure: Building distributed scraping architectures capable of handling 10M+ daily requests with auto-scaling, queue management, and real-time monitoring • Cloud Integration: Seamless data delivery to BigQuery, PostgreSQL, AWS S3, Snowflake, and data warehouses with optimized loading strategies 🛠 Technical Stack: • Languages: Python (Scrapy, AsyncIO), TypeScript/Node.js • Automation: Selenium Grid, Puppeteer Cluster, Playwright with stealth plugins • Data Engineering: Apache Airflow, dbt, Pandas, custom ETL frameworks • Infrastructure: Docker, Kubernetes, Redis, RabbitMQ, rotating residential proxies • Storage: BigQuery, PostgreSQL, MongoDB, AWS S3, Google Cloud Storage 💼 Ideal For: • Companies needing reliable, long-term data extraction infrastructure • ETL pipeline development and data warehouse integration • Complex automation requiring custom browser engineering • High-volume scraping requiring distributed worker architectures and SLA guarantees Why Enterprise Clients Choose Me: ✓ Engineering-First Approach: I write clean, documented, version-controlled code not brittle scripts ✓ Scalability by Design: Systems built to grow from thousands to millions of records without rewrites ✓ Data Integrity: Automated quality checks, deduplication, and schema validation at ingestion ✓ DevOps Ready: CI/CD integration, containerized deployments, and comprehensive logging

Businesses lose time and money when their data is scattered, pipelines break, or dashboards don't tell the full story. I fix that. I'm a Data Engineer and Analytics specialist focused on building reliable data infrastructure — from automated pipelines to dashboards your team actually understands and uses. How I can work with you: I don't just deliver a one-time fix and disappear. I grow into a long-term technical partner as your data needs evolve. What I can deliver: 📊 Analytics & Visualization - Metabase setup, self-hosting, customization, and ongoing support - Power BI dashboard development - Clean, meaningful dashboards built around your business questions ♻️ Data Pipelines & Integration - ETL pipeline development with Mage.AI, Airflow, and ClicData - Multi-source data integration and automation - Database migration with zero data loss (MySQL, PostgreSQL, and more) 🛠️ Infrastructure & Deployment - Self-hosted apps on Docker, DigitalOcean, and Azure VM - Windows Server & Ubuntu Server management - Microsoft Azure (Functions, VM, DevOps) 💻 Backend & API Development - .NET Core / .NET Framework (C#) web apps and REST APIs - Python - SQL Server, MySQL, PostgreSQL Currently, my main focus is in: - Built and maintain ETL pipelines that ingest financial data feeds from banks, CSVs, and PDFs — feeding accurate data for next steps. - Develop and optimize Metabase dashboards at scale — including query-level optimization to keep dashboards fast as their data grows past millions of rows.

I am an AWS-certified data engineer, with specializations in developing data pipelines, creating ML solutions, and orchestrating workflows. 🥇 Expert in Python and R (Data Science, Data Engineering) 🥇 Expert in PostgreSQL, MySQL, MongoDB, Cassandra (Databases) 🥇 Expert in Amazon Aurora, Redshift, DynamoDB, S3, Google BigQuery (Cloud Data Services) 🥇 Expert in Apache Spark and Databricks (Big Data Processing) 🥇 Expert in n8n, OpenCode, OpenClaw, and AI agent workflow automation 🥇 Expert in Apache Airflow, ETL scripts, and AWS Step Functions (Data Pipelines) 🥇 Expert in Classification, Regression, Clustering, NLU (Machine Learning) 🥇 Expert in Power BI 🥇 Expert in RLHF for AI Models (Reinforcement Learning from Human Feedback) 🥇 Expert in Kubernetes and Docker (Container Management) 🥇 Expert in Apache Kafka (Event Streaming) 🥇 Expert in CI/CD with GA Workflows, Terraform, etc. 🕐 Prompt Turnaround My expertise encompasses data pipeline developments, data wrangling techniques, custom ETL scripts, Machine Learning, workflow automation, database management, cloud data warehousing, big data, and more. As a data engineer with extra data science experience, I have gained invaluable experience collaborating with numerous companies across continents. 🌟WHY CHOOSE ME OVER OTHER FREELANCERS? 🌟 ✅ Client Testimonials: My utmost dedication lies in providing unparalleled VALUE to all my clients and establishing strong partnerships to facilitate outstanding projects. Glancing through the testimonials, you'll witness heartfelt expressions from satisfied clients describing their exceptional experience working with me. I aim to leave a lasting impression on every individual I have the pleasure of collaborating with. ✅ Effective Communication: Based on my extensive background, I understand the significance of communication in successful collaborations. I prioritize transparent, fast, and sincere communication as a fundamental responsibility, ensuring a seamless working process. ✅ Mastery: I consistently strive to deliver my very best. I am committed to going the extra mile, guaranteeing flawless and captivating solutions. Each solution showcased in my portfolio reflects my unwavering confidence. I eagerly anticipate the opportunity to collaborate with you. 🟢 EXPERTISE AT A GLANCE 🟢 • Data Engineering and Data Pipelines: - Apache Spark, Databricks, Amazon EMR - Dagster, Airflow, Step Functions - AWS Glue, Python ETL scripts, Bash scripts - CI/CD with GA Workflows and Terraform • Data Science and AI: - pandas, numpy, scikit-learn, tidyverse, Spark MLlib - n8n, SageMaker - ML techniques: classification, regression, clustering, NLU, RLHF • Databases: - MySQL, PostgreSQL, MS SQL, MongoDB, Cassandra • Cloud Databases: - Amazon Aurora, Redshift, DynamoDB, Azure Cosmos DB, Google BigQuery • Data Lake Solutions: - Amazon S3, AWS Lake Formation • Business Intelligence: - Power BI, Amazon QuickSight CERTIFICATIONS 🏅 AWS Certified Data Engineer 🏅 AWS Certified AI Practicioner 🏅 IBM Data Engineering Specialization 🏅 Analyzing and Visualizing Data with Power BI 🏅 Google Data Analytics Specialization If you seek a consummate professional known for delivering exceptional value, empowering projects, and resolving complex challenges, you have unequivocally arrived at the right destination.

I am a professional Data Engineer and Web Scraper with years of experience in designing and implementing efficient and effective data processing solutions. My expertise includes developing data pipelines, processing large datasets, and creating scripts and tools for web data extraction automation. I am dedicated to providing accurate and reliable data solutions to support my clients' business analysis needs. With strong technical skills and attention to detail, I am ready to help you optimize your data management processes

I have sufficient knowledge of using Pentaho to process data. I can provide ETL data in various formats like CSV, Excel, Text, and table in a database. I take pride in ensuring that all my work is complete on time. I look forward to establishing long-term solid relationships with all my customers and look forward to talking to you.

Struggling with unreliable data pipelines or messy data quality🤯⁉️ I build robust data pipeline systems ⚒️ that transform raw data into clean and reliable datasets for your business decisions 💸with 2+ years proven expertise. WHY CHOOSE ME ⚡ Lightning-Fast Delivery: Complete projects fast 💰 Cost-Effective Solutions: Save data infrastructure costs through smart architecture choices 🗣️ Crystal Clear Communication: Daily progress updates + 24/7 availability across all time zones 📈 Proven Track Record: 100% project success rate with data quality guaranteed 🛠️ Modern Tech Stack: Latest tools and frameworks for future-proof solutions 🕐 Rapid Response: < 2 hours response time, even on weekends WHAT I CAN DO & HOW FAST? ✅ ETL/ELT Pipeline Development - Automated data workflows with error handling (1-2 weeks) ✅ Real-Time Data Processing - Live streaming analytics with Kafka/Spark (1-2 weeks) ✅ Data Warehouse Architecture - Scalable cloud solutions (AWS/GCP/Azure) (1 week) ✅ Data Quality & Validation - Automated testing and monitoring systems (1 week) ✅ Database Optimization - Performance tuning for 10x speed improvements (1-2 weeks) ✅ Data Migration & Integration - Seamless multi-source consolidation (1-2 weeks) ✅ Analytics Dashboard Setup - Interactive visualizations with Power BI/Other Tools (1 week) ✅ Pipeline Optimization - Reduce processing time and cloud costs (1-2 weeks) CORE TECHNICAL SKILLS ⭐Languages: Python, SQL, Scala ⭐Database: PostgreSQL, MySQL, SQL Server, Clickhouse ⭐Core: Apache Spark / PySpark, Apache Airflow, Apache Kafka, Apache Flink, DBT ⭐Clouds: AWS (Redshift, Glue, S3), GCP (BigQuery, Dataflow), Azure (Synapse, Databricks) ⭐Visualization: Tableau, Power BI, Looker Studio, Garfana, Apache Superset ⭐Other: Docker, Git, Terraform, Apache Iceberg, Debezium Ready to solve your data challenges? 📩 Click 'Message' now for a FREE 15-minute consultation where we'll discuss your specific challenges and create a custom roadmap for success. Available within 2 hours! 🔑𝐊𝐄𝐘𝐖𝐎𝐑𝐃𝐒: Python, SQL, Machine Learning, Data Analysis, ETL Pipeline, Amazon Web Services, ETL, Data Science, Apache Spark, Data Scraping, Data Visualization, Big Data, Tableau, Data Engineering, ETL Pipeline, ELT Pipeline, Data Pipeline Development, Apache Spark, PySpark, Apache Kafka, Apache Airflow, Data Warehouse, AWS Data Engineer, Azure Data Engineer, GCP Data Engineer, Python Developer, SQL Expert, Big Data Engineering, Data Integration, Data Migration, Snowflake, Amazon Redshift, Google BigQuery, Azure Synapse, AWS Glue, Azure Data Factory, Google Dataflow, dbt Transformation, Data Quality, Real-time Processing, Batch Processing, Cloud Data Architecture, AI Data Pipeline, RAG Pipeline, LangChain, Vector Database, AI Integration, n8n Automation, Zapier Integration, Make.com, Workflow Automation, API Integration, LLM Data Processing, GenAI Data Solutions, Machine Learning Pipeline, MLOps, Pinecone, Weaviate, ChromaDB, OpenAI API, Embedding Pipeline, AI Workflow, Data Automation, Remote Data Engineer, Freelance Data Engineer.