Hire the Best Hadoop Developers & Programmers

Your data pipeline is either driving decisions, or quietly slowing your business down. Most teams don’t struggle with data volume, they struggle with reliability. Pipelines fail without alerts, dashboards lag behind reality, and engineers spend more time fixing than building. The result is slower decisions, growing technical debt, and missed opportunities. I design and build robust, scalable data systems that simply work, from ingestion to analytics-ready data. The focus is always on clarity, performance, and reliability, so your team can trust the data and move faster without constant firefighting. My tech stack: Python, SQL, Spark, Apache NiFi, Airflow, Kafka, Flink, Snowflake, BigQuery, AWS, GCP, Docker, Terraform, and FastAPI. If you share your current setup or challenge, I’ll break down exactly how to fix or scale it. I usually respond within a few hours.

⏰ Available 24/7 – Long-term & High-impact Projects Hi, I’m Nghi, a Senior Data Engineer and Data Architect with a strong backend foundation, now focused on building high-performance analytics platforms, explainable data pipelines, and production-grade cloud architectures. I help companies transform unreliable, slow, or opaque data systems into scalable, well-documented, and business-trustworthy platforms. 🧠 WHAT I SPECIALIZE IN 🏗️ Data Architecture & Platform Design - Designing modern lakehouse & warehouse architectures - dbt-first analytics engineering with testing, freshness & lineage - Event-driven and batch hybrid pipelines - Data quality frameworks & SLA monitoring - Customer-facing data explainability systems Tools: dbt, Dagster, Airflow, Spark, Kafka, Snowflake, BigQuery, Redshift, PostgreSQL, DuckDB, ClickHouse ⚡ Database Performance Engineering - If your queries are slow, costs are high, or dashboards lag, This is my zone - Query plan analysis & index strategies - Warehouse cost optimization (Snowflake, BigQuery, Redshift) - OLTP & OLAP performance tuning - High-concurrency workload design 🔄 Reverse ETL & Operational Analytics - Syncing analytics back to CRMs & internal tools - Building real-time metrics pipelines - Feature-store style transformations 🕷️ Enterprise-grade Web Data Extraction - I don’t just scrape pages, I build durable data acquisition systems: - Complex ASP.NET, JS-heavy, authenticated & paginated systems - Anti-bot bypassing & failure-recovery pipelines - Headless browser automation + async scraping - Real-estate, finance, campaign-finance & marketplace platforms ☁️ Cloud Infrastructure - AWS | Azure | GCP - EMR / Dataproc / Glue / Dataflow / Synapse / BigQuery / Redshift - Terraform-based deployments - Cost-aware architectures - Kubernetes + Dockerized data services 🧪 What You Get Working With Me ✔️ Production-ready pipelines ✔️ Clean, testable dbt models ✔️ Well-documented architecture diagrams ✔️ Transparent data logic for non-technical stakeholders ✔️ Systems that scale beyond MVP ✔️ Honest advice and not over-engineering 🏆 Ideal Projects 👍 Data warehouse migrations 👍 Broken pipelines that need debugging & stabilization 👍 Analytics platforms that lack trust or explainability 👍 Performance bottlenecks costing thousands per month 👍 Long-term data platform ownership ❣️ Why Clients Stay Long-Term 🍀Clear communication 🍀 Business-first thinking 🍀 No black-box systems 🍀 I build systems others can maintain 🇻🇳🇻🇳🇻🇳🇻🇳 If your data platform feels fragile, slow, or impossible to explain to customers, I can fix that. Let’s make your data system something you can confidently stand behind.

AWS-focused data engineer with 10+ years building and automating large-scale big-data systems. I design the pipelines that move and process data reliably — batch or streaming — and the cloud platforms they run on. My core stack is Hadoop, Spark, Hive, and data warehousing, paired with deep AWS expertise and four AWS certifications: Solutions Architect (Associate and Professional), Developer (Associate), and Big Data (Specialty). How I help clients: • Design and automate scheduled batch and streaming pipelines end to end, with Python for tooling and glue. • Lead cloud migrations and integrations — moving existing systems into AWS, or wiring them to it cleanly. • Ship containerized and streaming workloads on Docker and Kubernetes. Platform engineering is my specialty. I build internal developer platforms — a clean, self-service overlay on top of cloud and Kubernetes APIs — so your engineers ship faster without fighting the infrastructure underneath. Tell me what you're building, and I'll help you get it running reliably in the cloud.

I'm a Big Data Engineer with 9+ years of experience delivering data projects across Big Data, Cloud, and AI-driven environments. My main skills are: Programming languages: Scala, Java, Python, C++, SQL Big Data / HDP-CDP: Spark, Hive, Hadoop, HBase, Solr, Elasticsearch, Oozie, Airflow, Pig, Kerberos, Ranger, LDAP, NiFi, Talend, Kafka Cloud: Azure (Data Factory, Databricks, Synapse, ADLS Gen2, Microsoft Fabric), AWS (Glue, Lambda, EMR, Redshift), Google Cloud CI/CD & DevOps: Git, Jenkins, Kubernetes, Docker, Control-M, Terraform AI/ML enablement: building and optimizing data pipelines feeding ML/AI models, working with data scientists on feature engineering, data quality, and scalable data preparation for AI use cases During my experience, I've tackled a wide range of challenges related to job optimization, data quality, pipeline reliability/availability, cost efficiency, and large-scale migrations across regulated industries (banking, finance, insurance). I'd be glad to bring this experience to your project, with 30 hours/week availability.

Fortune 500 companies don't hire me for dashboards, they hire me to solve complex data challenges. For 16+ years, as an Official Databricks ISV Partner and Registered Snowflake Partner, I've delivered Enterprise Data Engineering, Big Data Engineering, Databricks, Snowflake, Data Visualization, and Cloud solutions for Fortune 500 companies including S&P Global, Electrolux, Hexagon, and Ernst & Young. 💼 I don't just build dashboards or pipelines, I architect scalable data platforms that process massive datasets, streamline decision-making, and give organizations the foundation they need to power analytics, AI, machine learning, and long-term business growth. 🤝 I believe Trust should be earned, not assumed. That's why I give every client a FREE 30-minute consultation and, a FREE Proof of Concept (POC). Unlike most freelancers, I don't expect you to make a decision based on promises alone. I let you see the solution first. 📩 Before you commit to the project! or spend a single dollar! I will build a working Proof of Concept tailored to your requirements. Here's what you get: ✔ See your solution before you pay ✔ FREE Proof of Concept (POC) tailored to your project ✔ FREE 30-minute consultation with actionable technical recommendations ✔ Validate the architecture and implementation approach with zero risk ✔ No obligation. No commitment. 🚀 Click "Invite to Job" to claim your FREE Consultation & FREE POC. ⭐ What My Clients Says About Me: ⚡ "Exceptional expertise in Snowflake, data pipeline development, ETL/ELT, Python, SQL, and Big Data technologies throughout the project." ⚡ "I was impressed by Haseeb's work on data modeling, optimization, and automation. Strong technical expertise and great communication throughout." ⚡ "Haseeb not only completed the project on time but also compiled a full report on the architecture and a presentation to walk me through the key information." ⚡ "An exceptional ETL data pipeline developer. His attention to detail and problem-solving skills were impressive." ⚡ "Professional, reliable, solution-oriented, and committed to quality." Is your business facing any of these challenges? 🚫 You're collecting more data but getting less value from it. 🚫 Your business has no solid data foundation to support AI, analytics, or future growth. 🚫 Slow ETL & Data Pipelines are delaying critical decisions. 🚫 Data is scattered across multiple systems with no single source of truth. 🚫 Underperforming Databricks or Snowflake environments. I've spent 16+ years solving exactly these problems for enterprise teams. Data Engineering Services: ✔ Databricks & Snowflake ✔ Apache Spark & PySpark Development ✔ Delta Lake ✔ Delta Live Tables ✔ ETL / ELT Pipeline Development ✔ Data Pipeline Automation ✔ Data Platform Architecture ✔ Data Warehouse ✔ Data Lake ✔ BigQuery ✔ SQL ✔ Data Modeling ✔ Data Governance ✔ Cloud Data Migration ✔ Azure ✔ AWS ✔ GCP ✔ Apache Kafka ✔ Apache Flink ✔ Real-Time Streaming Pipelines ✔ Analytics Engineering Data Visualization & Business Intelligence Services: ✔ Power BI Dashboards ✔ Interactive Data Visualization ✔ Executive KPI Dashboards ✔ Operational Dashboards ✔ Business Intelligence Solutions ✔ Looker Studio ✔ Automated Reporting ✔ Business Analytics ✔ Financial Reporting Dashboards ✔ Sales & Marketing Dashboards ✔ Real-Time Analytics Dashboards Why clients choose me ✅ 16+ years in Enterprise Data Engineering ✅ Fortune 500 experience (S&P Global, Electrolux, Hexagon, EY) ✅ CEO & Co-Founder of a specialized AI, Cloud & Data consultancy ✅ AWS Certified Data Engineer ✅ Databricks implementation expert ✅ Apache Spark & PySpark specialist ✅ Apache Kafka & Apache Flink expertise ✅ Open-source contributor ✅ End-to-end ownership, from strategy to deployment Industries I've Worked With • Manufacturing • Financial Services • Enterprise SaaS • Industrial IoT • Smart Devices • Real Estate • Energy • Retail • AI & Data Platforms Core expertise: Big Data Engineer • Data Engineer • Databricks • Apache Spark • PySpark • Snowflake • Delta Lake • Delta Live Tables • Unity Catalog • Azure • AWS • GCP • Azure Data Factory • AWS Glue • BigQuery • SQL • Python • Power BI • Looker Studio • Apache Kafka • Apache Flink • ETL • ELT • Data Engineering • Big Data • Data Architecture • Data Modeling • Data Warehouse • Data Lake • Streaming Data • Data Governance • Business Intelligence • Data Visualization • Cloud Migration • Analytics Engineering 🚀 Let's start with a FREE consultation. Tell me about your data challenges, business goals, or existing platform. I'll provide a FREE consultation and a FREE Proof of Concept (POC) so you can evaluate the solution before making any commitment. Click "Invite to Job" and let's discuss how we can bring your vision to life

Data Engineer specializing in building scalable data pipelines, ETL systems, and cloud-based data infrastructure. Core Skills ➜ Data Engineering → ETL / ELT, Data Pipelines, Data Modeling ➜ Cloud → AWS (S3, Lambda, Glue), GCP (BigQuery, Storage) ➜ Programming → Python, SQL, REST APIs ➜ Orchestration → Apache Airflow, Workflow Automation ➜ Data Collection → Web Scraping, API Integration ➜ Databases → PostgreSQL, MySQL, BigQuery What I Can Help With — Build end-to-end ETL pipelines using Python and SQL — Develop automated data extraction systems (APIs & web scraping) — Design scalable cloud data pipelines on AWS and GCP — Clean, transform, and structure large datasets for analytics — Optimize SQL queries and database performance — Automate data workflows and reporting systems Let’s Work Together Send me your requirements and I will: Analyze your data problem Suggest the best technical solution Provide timeline and cost estimate Confirm feasibility before starting