You will get Spark: High-Performance Data Processing & Analytics
Top Rated

Project details
You will receive a customized, end-to-end Apache Spark solution tailored to your specific data processing needs. Whether it’s building efficient ETL pipelines, real-time data stream processing, I will deliver a fully functional, high-performance system that seamlessly integrates with your existing infrastructure.
1. Applicable Scenarios
• Big Data Analytics Projects
• Real-time Data Stream Processing Systems
• Businesses needing improved data processing efficiency
2. Why Choose Me?
• Professional Experience: With years of experience in big data processing, I am proficient in the Apache Spark ecosystem, capable of quickly understanding your needs and providing customized solutions.
• Efficient Delivery: I emphasize efficiency, aiming to deliver high-quality results in the shortest time possible, ensuring your project progresses on schedule.
1. Applicable Scenarios
• Big Data Analytics Projects
• Real-time Data Stream Processing Systems
• Businesses needing improved data processing efficiency
2. Why Choose Me?
• Professional Experience: With years of experience in big data processing, I am proficient in the Apache Spark ecosystem, capable of quickly understanding your needs and providing customized solutions.
• Efficient Delivery: I emphasize efficiency, aiming to deliver high-quality results in the shortest time possible, ensuring your project progresses on schedule.
Data Tool
PythonWhat's included
| Service Tiers |
Starter
$100
|
Standard
$250
|
Advanced
$500
|
|---|---|---|---|
| Delivery Time | 2 days | 5 days | 10 days |
Number of Revisions | 1 | 2 | 3 |
Source Code |
Optional add-ons
You can add these on the next page.
Fast Delivery
+$30 - $150
Additional Revision
+$30
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FA
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About Yazhen
Expert Data Engineer | Scalable ETL & Spark Optimization | Scala
100%
Job Success
Beijing, China - 2:55 pm local time
🚀 𝗦𝘁𝗿𝘂𝗴𝗴𝗹𝗶𝗻𝗴 𝘄𝗶𝘁𝗵 𝘀𝗹𝗼𝘄 𝗱𝗮𝘁𝗮 𝗽𝗿𝗼𝗰𝗲𝘀𝘀𝗶𝗻𝗴 𝗼𝗿 𝘂𝗻𝗿𝗲𝗹𝗶𝗮𝗯𝗹𝗲 𝗘𝗧𝗟 𝗽𝗶𝗽𝗲𝗹𝗶𝗻𝗲𝘀? 𝗜 𝗯𝘂𝗶𝗹𝗱 𝗮𝗻𝗱 𝗼𝗽𝘁𝗶𝗺𝗶𝘇𝗲 𝗵𝗶𝗴𝗵-𝗽𝗲𝗿𝗳𝗼𝗿𝗺𝗮𝗻𝗰𝗲 𝗱𝗮𝘁𝗮 𝘀𝘆𝘀𝘁𝗲𝗺𝘀 𝘁𝗵𝗮𝘁 𝘁𝘂𝗿𝗻 𝗺𝗮𝘀𝘀𝗶𝘃𝗲 𝗱𝗮𝘁𝗮𝘀𝗲𝘁𝘀 𝗶𝗻𝘁𝗼 𝗮𝗰𝘁𝗶𝗼𝗻𝗮𝗯𝗹𝗲 𝗶𝗻𝘀𝗶𝗴𝗵𝘁𝘀.
With 4+ years of professional experience, I have worked as a Data Engineer at world-class tech giants Xiaomi (Fortune Global 500) and Shopee ($80B Market Cap). My expertise lies in transforming complex data challenges into seamless, efficient, and scalable data workflows.
⭐ How I Can Elevate Your Business:
✔ End-to-End ETL/ELT Pipeline Development: I architect and build fully automated data pipelines using Airflow and Apache Spark (Scala/Python/Java), ensuring timely and accurate data for your analytics and machine learning models.
✔ Spark Performance Tuning & Optimization: Is your Spark job running slow or failing? I specialize in deep-diving into Spark applications to diagnose bottlenecks, optimize resource utilization (memory/CPU), and significantly cut down processing time and cost.
✔ Big Data Architecture & Solutions: Leveraging modern data stack tools like Kafka, Flink, Hadoop (HDFS, Hive), and Druid, I design and implement scalable Data Lakes and Data Warehouses tailored to your specific business needs.
✔ Data Quality & Integrity: I implement rigorous data cleaning and validation processes, transforming raw, messy data into a pristine, reliable asset for your decision-making.
⭐ Core Technical Skills:
✔ Big Data Ecosystem: Apache Spark, Airflow, Kafka, Flink, Hadoop, Hive, HDFS, Druid
✔ Programming: Scala, Python, Java, SQL
✔ Databases: HBase, Redis (NoSQL), Relational SQL Databases
✔ Platforms: Data Lake, Data Warehouse, AWS, GCP
⭐ What Sets Me Apart:
✅ Problem-Solver, Not Just a Coder: I focus on understanding your business goals first, then architect a solution that delivers real value. My work at Xiaomi was praised for not just meeting, but exceeding expectations by foreseeing future needs.
✅ Proactive & Clear Communication: You will always be in the loop. I believe in transparent, frequent updates to ensure the project aligns perfectly with your vision.
✅ Partnership & Kindness: I see my clients as partners. I am committed to working collaboratively and kindly to make your project a success and your life easier.
Ready to build a data infrastructure that drives your business forward?
𝗝𝗨𝗦𝗧 𝗖𝗟𝗜𝗖𝗞 𝗢𝗡 𝗜𝗡𝗩𝗜𝗧𝗘 𝗕𝗨𝗧𝗧𝗢𝗡 and let's have a quick chat about your project goals.
Steps for completing your project
After purchasing the project, send requirements so Yazhen can start the project.
Delivery time starts when Yazhen receives requirements from you.
Yazhen works on your project following the steps below.
Revisions may occur after the delivery date.
Requirement Gathering
Discuss and break down the client's requirements to understand the project scope.
Initial Analysis and Planning
Analyze the requirements and plan the data processing pipeline or optimization strategy.