Hire the Best Apache Flink Developers

Struggling to unlock value from your data or build scalable, high-performance analytics platforms? I’m 𝑯𝒂𝒔𝒆𝒆𝒃 𝑨𝒔𝒊𝒇,a Senior Data Engineer specializing in Databricks, Snowflake, Big Data Engineering, and scalable ETL/ELT solutions. With expertise in PySpark, Python, SQL, GCP, AWS, Azure, and NLP, I build high-performance data pipelines, cloud data platforms, and real-time analytics solutions. Experienced in data warehousing, cloud integration, machine learning workflows, and performance optimization to transform raw data into actionable business insights. Let’s build reliable, scalable, and data-driven solutions for your business growth. I’ve successfully completed 99+ projects across industries, designing ETL pipelines, MLOps workflows, Delta Lake architectures, and cloud analytics solutions on AWS, Azure, and GCP. ✔️ 𝑯𝒐𝒘 𝑰 𝑯𝒆𝒍𝒑 𝑩𝒖𝒔𝒊𝒏𝒆𝒔𝒔𝒆𝒔 𝑻𝒓𝒂𝒏𝒔𝒇𝒐𝒓𝒎 𝑫𝒂𝒕𝒂 𝒊𝒏𝒕𝒐 𝑰𝒏𝒔𝒊𝒈𝒉𝒕𝒔 ➜ Databricks & Big Data Engineering I specialize in designing enterprise-grade Databricks Lakehouse architectures and Delta Lake solutions. My expertise in Spark and PySpark allows me to build high-performance pipelines for both batch and real-time analytics, ensuring your data infrastructure is robust and scalable. ➜ Machine Learning & MLOps With a focus on machine learning and MLOps, I build and deploy predictive models using tools like MLflow and TensorFlow. I automate end-to-end ML pipelines to enhance efficiency and accuracy, driving impactful insights from your data. ➜ Cloud & Data Platforms I implement secure, scalable cloud solutions on platforms like AWS, Azure, and GCP. My experience includes cloud migration, Kubernetes, Docker, and CI/CD automation, ensuring seamless integration and optimal performance. ➜ ETL & Data Pipelines I develop reliable ETL processes and data pipelines that streamline data integration and transformation. My work with streaming analytics using Kafka and Spark ensures real-time data processing and actionable insights. ➜ Data Analyst & Visualization I create actionable dashboards and visualizations using Power BI, Tableau, and Databricks SQL. My focus is on driving KPI reporting and business intelligence to support strategic decision-making. ➜ Snowflake I leverage Snowflake's capabilities to build efficient data warehousing solutions, optimizing data storage and retrieval for enhanced performance and scalability. ➜ Python My proficiency in Python allows me to develop complex data processing scripts and machine learning models, ensuring robust and efficient data handling. ➜ NLP (Natural Language Processing) I apply NLP techniques to extract meaningful insights from unstructured data, enabling advanced text analytics and improved decision-making processes. ➜ GCP (Google Cloud Platform) I utilize GCP's powerful tools to design and deploy scalable cloud solutions, ensuring high availability and performance for your data-driven applications. ➜ Data Warehouses I design and manage data warehouses that provide a centralized repository for your data, facilitating efficient data analysis and reporting. ✔️ 𝑲𝒆𝒚 𝑻𝒐𝒐𝒍𝒔 & 𝑻𝒆𝒄𝒉𝒏𝒐𝒍𝒐𝒈𝒊𝒆𝒔 ▪ Databricks & Big Data: Databricks, Delta Lake, Apache Spark, PySpark, Unity Catalog, Kafka, Hadoop, Real-time Streaming ▪ Machine Learning: MLflow, TensorFlow, PyTorch, scikit-learn, Feature Store, Predictive Analytics, NLP ▪ Cloud Platforms: AWS, Azure, GCP, Kubernetes, Docker, CI/CD ▪ Analytics & BI: Power BI, Tableau, Databricks SQL, KPI Dashboards, Data Strategy ▪ Data Engineering: ETL Pipelines, Data Lakes, Data Warehousing, Data Migration, Performance Optimization ✔️ 𝑾𝒉𝒚 𝑪𝒉𝒐𝒐𝒔𝒆 𝑴𝒆 I combine deep technical expertise with practical business understanding, delivering scalable, cost-efficient, and AI-ready data solutions. My goal is to turn your data into a strategic asset that powers smarter decisions and measurable growth. Let’s collaborate to build your next-generation analytics platform and unlock the full potential of your data. Check my portfolio for architecture samples, dashboards, and case studies. Databricks Engineer, Big Data Consultant, Spark Developer, MLOps Engineer, Data Engineer, AWS Data Specialist, Azure Databricks, GCP Analytics, ETL Developer, Data Analytics, Delta Lake Expert, Machine Learning Engineer, Python, Database Architecture, Data Processing, ETL, Big Data, Database Design, Data Engineering, Data Analytics & Visualization Software, Data Visualization, Deep Learning Modeling, Data Warehousing & ETL Software, Snowflake, Amazon Web Services, ETL Pipeline, Machine Learning, Deep Learning, Data Science, Data Analysis, Cloud Engineering, Artificial Intelligence, Databricks Engineer, Big Data Consultant, Spark Developer, MLOps Engineer, Data Engineer, AWS Data Specialist, Senior Data Engineer specializing in Databricks, Snowflake, Big Data Engineering, and scalable ETL/ELT solutions. With expertise in PySpark, Python, SQL, GCP, AWS, Azure, and NLP

Forward-thinking and inquisitive Software Engineer with a background working productively in dynamic environments. Proactively, learning things at macro beyond code, focusing on the bigger picture, business value, and outcomes. 6+ years of professional experience in (ETL data pipeline, Microservices, Event Driven Architecture, Big Data, API, and Backend Development). Built end-to-end data processing system that processed over 1 billion records per day, utilizing multiple data engineering tools and streaming frameworks. Skills: Languages: Python, Java, NodeJS, PHP, SQL Data Engineering - Data Extraction, Streaming & Processing: Scrapy, Complex Data Scraping, Apache Flink, Apache Spark, AWS Kinesis, Apache Kafka, RabbitMQ, Fluentd - Data Standardization & Analytics: Microsoft Fabric Database: MySQL, PostgreSQL, MongoDB, InfluxDB Analytics Search Engines: Typesense, ElasticSearch, Algolia Other: AWS, EFK stack, Docker, Web Data Scraping, AWS S3, Event Driven Systems, Data pipelines, Vector Search, Proxy Server When I’m not working, you can find me watching or playing football, writing blogs, traveling, cycling, or researching open-source projects.

I'm Huanqing Zhu, and you can call me Fusion. With over 10 years of hands-on Java development experience—including 6 years dedicated to big data processing and visualization—I’ve built my expertise by staying rooted in frontline coding, even as my responsibilities have grown. A key pillar of my technical toolkit is ‌6 years of production-grade Rust development experience‌, complemented by proficiency in Java, Scala, JavaScript, HTML5, and a full stack of big data and cloud-native technologies: Apache Spark, Hadoop, Hive, Flume, HBase, Storm, Kafka, DataX, ECharts, Docker, Kubernetes, and Linux. What sets me apart is that I’ve never stepped away from writing production code, even as I’ve taken on leadership and architectural roles: As a ‌hands-on Big Data Developer‌, I’ve built robust data ingestion utilities (including the open-source DataXServer on GitHub) and real-time page click analytics systems, directly coding pipelines to pull data from RDBMS, NoSQL databases, and file storage into production environments. As a ‌Big Data Architect‌, I’ve led platform design while still contributing core code, using Hadoop, Spark, Flink, and ElasticSearch to build scalable data infrastructure—no abstract planning here; I’ve written the critical components that power these systems. As a ‌Rust Specialist‌, my 6 years of experience spans building high-performance, low-latency systems. I’ve used Rust to optimize data processing pipelines, cut latency by up to 40% in high-throughput scenarios, and deliver systems that run 24/7 with zero critical errors. As a ‌Team Leader‌, I’ve managed full-stack teams (Java, front-end, QA, operations) while still pairing with developers on complex code reviews and contributing to high-priority features, ensuring I stay connected to the day-to-day challenges of software delivery. I also bring deep experience in microservices architecture and cloud-native containerization, and my cross-language expertise lets me bridge gaps between Java-based enterprise systems and Rust-powered high-performance components. If you’re looking for a professional who combines strategic vision with the grit to deliver production-ready code—someone who can architect a system, and write the Rust or Java code that makes it run—I’m the candidate for you. Thank you for reviewing my profile. I’m eager to discuss how my hands-on experience can add value to your team.

I am a Cloud & DevOps Engineer with 5+ years of experience in building and managing scalable, secure, and automated infrastructures across AWS, GCP, Azure, and Proxmox. My expertise lies in container orchestration, CI/CD automation, cloud-native development, and infrastructure-as-code, helping organizations achieve faster delivery and improved reliability.

Software developer with a strong foundation in data structures and algorithms, specializing in high‐performance systems, optimization, and purpose‐built engineering solutions. Programming Languages • C, C++, Go • Python, Lua, Bash Libraries • Pandas, NumPy, ezdxf Client‐side • HTML, CSS, JS, TS • HTMX • React, Next.js • Hugo, Astro Server‐side • Node.js, Deno • Django, FastAPI Databases • PostgreSQL • MySQL, MariaDB • SQLite • MongoDB • Redis, DynamoDB Infrastructure • Linux • Docker, Podman • Cloudflare Tools • Git (GitHub, GitLab) • Neovim Documentation • Markdown • reStructuredText • LaTeX • Typst Productivity • Microsoft Office • Microsoft Power BI Computer‐Aided Design • AutoCAD • SOLIDWORKS • Siemens NX

💡 Whether you need a new product built from scratch, help with cloud infrastructure, or expertise in digital signatures and security, I can help you deliver results. I bring together strong backend development skills with solid DevOps and cloud expertise, so you don’t just get code — you get a solution that’s ready for real-world growth. What I Can Do for You 💻 Software Development - Build robust back-end systems using Java or Python, Golang - Deliver production-ready APIs with Spring Boot, Django, Flask, FastAPI - Develop and customize enterprise platforms — including Warehouse Execution Systems (WES) and Warehouse Control Systems (WCS) at Fortna, covering order orchestration, inventory management, and integration with conveyors, sortation, and robotics in automated fulfillment centers 🤖 AI Agents & Automation - Design and build AI agent workflows that automate real business processes — data extraction, document processing, customer support, internal tooling, and reporting - Use AI tools (Claude, Cursor, Codex, LangChain-style orchestration) to ship products faster and reduce manual workload - Build custom integrations connecting AI agents to your existing systems (databases, APIs, internal dashboards) so automation actually fits into your workflow, not bolted on top of it 🗄 Databases & Data Engineering - Design and optimize databases (MySQL, MongoDB, Neo4j, Redis) - Build ETL pipelines and data warehouses (on-premise or cloud) - Web scraping & data processing with Selenium, BeautifulSoup, Scrapy, Airflow, Dagster, Playwright, ... ☁️ Cloud & DevOps - Deploy and manage apps on AWS and GCP - Automate infrastructure with Terraform - Ensure scalability with Kubernetes (K8s) - Set up monitoring dashboards with Prometheus & Grafana 🔐 Security & Digital Signatures - Implement digital signature workflows (PDF signing, PKI, CSC API) - Expertise with tools like iText, PDFBox, pyHanko, DSS Framework - Integrate cryptography & HSM solutions for compliance and security Why Clients Choose Me ✅ I don’t just code — I design, implement, and maintain full solutions. ✅ Strong focus on scalability, reliability, and security. ✅ Experience across product development, infrastructure, and consulting. ✅ Flexible: can work as a hands-on engineer or a technical consultant/partner.