Hire the Best Big Data Engineers
in China

I help businesses transform geospatial data into actionable insights through GIS, spatial analysis, interactive mapping, and Python automation. My work includes: • Parcel and land analysis • Spatial relationship modeling • Drive-time / accessibility analysis • Interactive maps and dashboards • GIS workflow automation • Large-scale geospatial data processing Recently, I developed a GIS automation tool for large-scale parcel and road relationship analysis in Australia. The system supports identifying frontage roads, parcel orientation, corner lots, and multi-road adjacency through rule-based spatial analysis workflows. The solution was designed for practical use in real workflows, and packaged as a standalone application with batch processing and configurable parameters for non-technical users. Core expertise: * Spatial analysis and GIS data processing * Map-based analysis and parcel-level studies * Road-network and accessibility analysis * Python-based geospatial automation * Data preparation for mapping and reporting workflows Tools & technologies: Python, GeoPandas, QGIS, ArcGIS Pro, PostGIS, Pandas, Shapely, Jupyter Notebook I also have experience building more advanced spatial rule-based systems that bridge traditional GIS analysis with emerging geospatial intelligence workflows (GeoAI concepts), especially in structured spatial relationship modeling.

Work as tech lead & chief architect for a web company serving 4m+ users. Collect and store user behavior data & transaction data, perform daily and ad hoc ETL on the data, find useful pattern and provide BI visualization; design & develop server backend and providing apis to end users. Able to help a middle sized tech firm to setup OLAP(Online Analytical Processing) & OLTP(Online Transactional Processing) platform from zero. Has rich working experience in Spark, MongoDB, Fastapi, Clickhouse, Pandas, Numpy, Terraform, Agent development, AWS environment(Lambda, Athena, DynamoDB, Glue, EMR, Bedrock, Cognito, QuickSight, Sagemaker, etc). Rich coding experience in Python/Scala/Java. Rich experience in Machine Learning especially NLP. Can work as part-time job, 10~20 hours per week.

hello, it is shimin here. I graduated from Jilin University as a Bachelor degree about 8 years ago, I major in computer science and Jilin University is top 50 in China. after that, I have eight years of experience as a backend software engineer, using the most mainstream backend technology stacks in business areas including B2B, B2C and internal data platforms. I have worked for Qunar IQiyi, and Sensetime company, these are famous leading tech companies in China and once listed on the Hong Kong or Nasdaq Stock marketplace. Now I work for Microsoft in an international team using English to collaborate with colleagues from other regions., I join microsoft in 2021, involved in the project which is an online education platform named takelessons.com. I am proficient in Java, Golang, big-data analysis and related technologies stack you can go through more detailed skill list in resume.

I'm a developer focusing on python related development. Things like data analysis, data presentation, python back-end development with Django. Though being quite new to freelancing area, I would be glad to help with web system development, data analysis etc. Services I can provide: - python as back-end language specifically in django and data analysis tools - manipulation excel file (including macros) from python script - restful api implementation and usage - python script for automating different tasks

AWS Certified Data Engineer and Data Analyst with 5+ years of experience designing scalable data pipelines, building robust ETL workflows, and transforming raw data into actionable insights. Proven expertise in AWS cloud services, big data processing, and advanced analytics to drive data-driven decision-making. Dedicated to delivering high-quality data solutions that optimize performance, reduce costs, and unlock business value. Core Skills & Technologies 🔷 Data Engineering: AWS Stack: Redshift, Glue, EMR, Athena, Kinesis, Lambda, S3, CloudFormation ETL/ELT: Apache Spark, PySpark, AWS Glue, Airflow, Kafka Data Warehousing: Snowflake, Redshift optimization Big Data: Hadoop, Hive, Databricks, real-time streaming 🔷 Data Analysis & Visualization: SQL, Python (Pandas, NumPy), R BI Tools: Tableau, Power BI, AWS QuickSight Advanced Analytics: Predictive modeling, regression, clustering 🔷 Infrastructure: IaC (Terraform), Docker, CI/CD pipelines, AWS Security (IAM, KMS) Services Offered 🔷End-to-End Data Pipeline Development → Build automated, fault-tolerant data pipelines (batch/streaming) using AWS services → Migrate on-premise data systems to AWS cloud (e.g., S3 → Redshift) 🔷Data Warehousing & Modeling → Design star/snowflake schemas, optimize Redshift clusters, manage data lakes 🔷ETL Optimization → Refactor legacy ETL jobs to Spark/Glue for 50%+ faster processing 🔷Analytics & Reporting → Create interactive Tableau/Power BI dashboards for KPIs and forecasting 🔷Ad-Hoc Analysis → Clean, analyze, and visualize datasets to uncover growth opportunities Why Hire Me? ✅ AWS Certified Data Engineer- Associate ✅ Performance-Driven: 40% lower query costs | 60% pipeline efficiency gains ✅ Full-Cycle Delivery: Architecture → Deployment → Monitoring → Documentation ✅ Client Focus: Responsive communication | Agile workflow | Transparent timelines AWS Certified Data Engineer, Data Analyst, Big Data Engineer, ETL Developer, Data Pipeline, AWS Glue, Redshift, PySpark, SQL Data Analyst, Tableau Specialist, Data Warehousing, Kinesis, Lambda, S3, Data Lake, Power BI, Data Modeling, Business Intelligence, Machine Learning, Data Visualization, Cloud Migration

I've led and delivered data engineering and BI solutions for financial, enterprise, and cloud-native teams — covering everything from data ingestion and modeling to analytics and automation. If you need a senior data engineer who can design, build, and actually deliver production-ready systems, you’re in the right place. What I Can Help You With： 🔹Data Engineering & Cloud Data Platforms Build and optimize ETL / ELT pipelines for Snowflake, Databricks, SQL Server, and MySQL Design modern, scalable data warehouse architectures using Kimball modeling Migrate legacy systems (SSIS) to Azure Data Factory / Databricks with improved performance and reliability 🔹Automation & Orchestration Automate data workflows using Azure Data Factory, AWS Glue, and Power Automate Build reliable scheduling, monitoring, and error-handling for production pipelines 🔹Business Intelligence & Reporting Design Power BI dashboards for project tracking, financial reporting, and operational insights Build data models that support fast, flexible reporting for business users Integrate Power BI with Power Apps for data review and write-back scenarios 🔹AI-Driven Data Solutions Build intelligent data query and search tools using Snowflake Cortex Analyst, Cortex Search, and Cortex LLM Enable business users to explore data using natural language without writing SQL Technologies I Work With： 🔹Languages: Python, SQL, C# 🔹Data Platforms: Snowflake, Databricks, SQL Server, MySQL 🔹ETL & Orchestration: Azure Data Factory, SSIS, AWS Glue 🔹BI & Analytics: Power BI, Tableau, Excel (VBA) 🔹Cloud & SaaS: Azure, AWS, Salesforce 🔹Automation: Power Automate Why Clients Choose Me： ✔ 20+ years of experience as a senior data engineer and data team leader ✔ Hands-on delivery — not just architecture diagrams ✔ Experience managing and collaborating with global teams (U.S., India, Brazil) ✔ Strong communication with international clients to clarify requirements and avoid rework ✔ End-to-end ownership: ingestion → modeling → warehousing → analytics → automation Certification ✔ AWS Certified Data Analytics – Specialty If you're looking for a senior-level data engineer who can help you build, optimize, or modernize your data platform — and deliver results you can trust — feel free to reach out. I'm happy to review your requirements and suggest a clear, practical approach.