Ukrainian Data Engineer Needed

@ZohaibRoy

⭐⭐⭐⭐⭐ Experienced Data Engineer to Build Scalable Data Solutions for You ❇️ Hi My Friend, I hope you're doing well. I've reviewed your project requirements and I see you are looking for a Data Engineer. You don't need to look any further; Zohaib is here to help you! My team has already completed 50+ similar projects for data engineering. I will design and build efficient data pipelines, ensuring data quality and governance while collaborating with your team to deliver valuable insights. ➡️ Why Me? I can easily handle your data engineering needs as I have over 3 years of experience in building data pipelines, developing ETL processes, and managing data warehouses. My skills include Python, SQL, and cloud platforms like AWS and GCP. Additionally, I have a strong grip on data warehousing technologies and data modeling best practices. ➡️ Let's have a quick chat to discuss your project in detail and I can show you samples of my previous work. Looking forward to discussing this with you! ➡️ Skills & Experience: ✅ Data Pipeline Development ✅ ETL/ELT Processes ✅ Data Warehouse Management ✅ Data Quality Assurance ✅ Python Programming ✅ SQL Proficiency ✅ Cloud Platforms (AWS, GCP, Azure) ✅ Data Modeling ✅ Airflow, Prefect ✅ Data Governance ✅ Analytical Skills ✅ Troubleshooting Waiting for your response! Best Regards, Zohaib

@alizain721

You want a Ukrainian data engineer who can deliver production ready pipelines and reliable warehouses without slow handoffs — I build exactly that for marketing and analytics teams. The real issue is usually not moving data but keeping it trusted and fast for analysts so decisions don’t wait on engineering. I built the ingestion and enrichment stack for Velocity IQ, including 1M plus record batches under two minutes and strict compliance and monitoring. My plan: assess your sources and current cloud, design ELT flows and schema, implement Python based transforms orchestrated with Airflow or Prefect, load and optimize in BigQuery Snowflake or Redshift, add data quality tests and performance monitoring, then hand off documentation and runbooks. I meet your tech needs Python SQL Airflow GCP BigQuery Snowflake and have experience with marketing datasets. My rate is 20 USD hour. Quick question: which cloud and warehouse are you using now and can you share a small sample schema or one week of event volume so I can sketch an architecture and estimate effort?

@mykhaylob4

✋ Hi there. I am a Ukrainian data engineer currently based abroad and available for this position. ✔️ I have 4+ years of experience building ETL pipelines with Python and Airflow, including a project for a marketing analytics firm where I aggregated customer data from multiple APIs into BigQuery and optimized query performance. ✔️ I will design and maintain scalable data pipelines, manage data warehouses, ensure data quality, and collaborate with your teams to deliver insights. Let's chat about your data sources and current infrastructure. Best regards, Mykhaylo

@toriquldev123

Hello dear, Greetings from Md. Toriqul Islam! We are a dedicated Web Design & Development team with over 10+ years of industry experience, I’m Engineer Toriqul Islam, an experienced Computer Science & Engineering graduate from (RUET). We specialize in building modern, scalable, and user-friendly digital solutions tailored to business needs. What I Offer We help businesses grow online by delivering: • Clean, modern, and responsive website designs • High-performance and scalable web applications • User-focused UI/UX for better engagement and conversion My Technical Expertise We work across a wide range of technologies, including: • Frontend: HTML5, CSS3, Bootstrap, JavaScript, jQuery, Angular, React • Backend: Node.js, PHP, Laravel, .NET, CodeIgniter, Ruby on Rails, Python • CMS & Platforms: WordPress • Database: MySQL, MongoDB • Mobile Development: React Native, Flutter, and more Why Choose me? ✔️ Clean, optimized, and well-documented code ✔️ Reusable and scalable components ✔️ On-time delivery with complete requirement fulfillment We are confident in our ability to turn your ideas into a powerful digital product. Let’s discuss your project and make it a success. Looking forward to working with you! Best Regards, Md. Toriqul Islam

@dataspro

Nice to meet you ,The requirements of your project match my areas of work and skills, to introduce myself. My name is Anthony Muñoz and i am the lead engineer for DS Pro IT agency. I have worked for over 10 years as a Full-Stack and software development engineer and have successfully done multiple jobs. It will be a pleasure to work together to make your project. Feel free to discuss about the project with me, greetings.

@zyeloncomputech

Hi sir, Thank you for giving opportunity for biding... we have gone through your requirements and we can do your data engineering stuff for Python, Airflow, Prefect, BigQuery, Snowflake, or Redshift, ETL according to your exact requirements. Why You Need To Go With Us? And What Special you get with us. • Your vision = Our mission • Your idea + Our expertise = Winner on Web • Cutting edge web technology & design • Innovative, Cost effective & Customized service • Pragmatic Approach • Constant communication with clients • Consistent performance • On-time delivery • Maintenance of global quality standards • Your online business + Our experience = Your success Python, Data Analytics, Data Science Portfolio IoT Data Analysis for Dairy Refrigerator Temperature Monitoring Real-time Object Detection using OpenCV and YOLO Supply Chain Management System Enterprise Data Warehouse Implementation Cloud Data Lake Migration Web Application Development for Wind Turbine Performance Prediction Data Analytics Platform for Supply Chain Optimization AI Bill System AI Try Dress

@mahads31

With my 3+ years of experience in data engineering, I am well-versed in the key responsibilities of this role. From designing scalable data pipelines to managing data warehouses and ensuring data quality, I have a strong track record of delivering actionable insights through clean and efficient ETL/ELT processes. Furthermore, my solid understanding of cloud data platforms such as AWS, GCP, and Azure, as well as experience with data warehousing technologies like BigQuery and Snowflake, will enable me to contribute immediately to optimizing your data storage solutions. Moreover, having worked with marketing, customer, and analytics datasets and teams before, I appreciate the significance of delivering accurate insights while ensuring consistent governance. Finally, in addition to my technical proficiency that matches the requirements for this project, what distinguishes me is the mindset that drives my work: It’s not just about writing code but building scalable tech solutions that drive measurable business impact. With my client-centered approach and proven ability to adapt to diverse industries and international standards, I am confident I can be your Ukrainian Data Engineer par excellence. Looking forward to discussing how I can power your team and project with smart innovation!

@jordanrafael7

Hi. I understand you're building scalable data pipelines and need a Ukrainian Data Engineer to design and maintain them. I have experience working with Python, SQL, and Azure, which align directly with the core requirements of this role. I've used Python for data processing automation and pipeline scripting, SQL for database queries and optimization, and Azure for cloud-based solution deployment and management. These skills support the foundational infrastructure needed for scalable data engineering work. Here's how I would approach this project: - Review your current data architecture and identify pipeline requirements and scalability goals. - Design modular data workflows using Python scripts and SQL queries optimized for performance. - Deploy and configure Azure-based infrastructure to support reliable data ingestion and processing. What is the primary data source you'll be working with, and what volume are you expecting to process daily? I'm ready to start immediately and can discuss project details further via Freelancer messages to ensure alignment with your technical and business objectives. Best regards, Jordan Rafael G.

@mayr81

Your Ukrainian Data Engineering hire reads like a pipeline-first mission, exactly where I shine. I build scalable ETL/ELT systems that keep data quality, governance, and consistency from “oops” moments to actionable insights. Expect clean Python + SQL foundations, production-ready orchestration (Airflow/Prefect-style patterns), and cloud-native warehouse optimization (BigQuery/Snowflake/Redshift). I focus on monitoring, performance tuning, and troubleshooting so data infrastructure stays fast and trustworthy, not flaky. I’ll collaborate tightly with analysts, marketers, and engineers to deliver datasets that actually get used, whether it’s marketing/customer/analytics workflows or real-time data processing when needed. Let’s turn raw events into reliable pipelines with governance that scales and tooling that developers enjoy.

@jeremiasg17

Hello! I've built a data pipeline system very similar to what you’re looking for, which improved our ETL processes and scaled effortlessly with increased data loads. I can share specific implementation details in chat if that interests you. My approach would involve leveraging tools like Airflow for orchestration and optimizing storage solutions with BigQuery to ensure data quality and governance. I'd focus on collaborating closely with your team to deliver actionable insights. Quick question: how do you currently handle data quality checks within your ETL processes? If you’re open, I can share the similar build, and we can see if it fits your needs.

@roell3

Hi, I work on Python data platforms and ML pipelines, with strong grounding in SQL, workflow orchestration, and cloud warehouses. I handle end‑to‑end data flows and production reliability. The hard parts here are keeping pipelines consistent as sources evolve, enforcing data contracts across marketing and product feeds, and managing cost versus latency as workloads scale. Another concern is observability—catching data drift, late arrivals, and schema breaks before they impact downstream analytics. How are your pipelines currently orchestrated and versioned? What guarantees do you need around freshness and backfills? How is data quality validated and surfaced to stakeholders today? Happy to review your setup and discuss next steps.

@mhhasibuzzaman

Wow! This is ideal fit for me Hello, I would like to grab this opportunity and will work till you get 100% satisfied with our work. I'm familiar with this kind of task and have many years of experience on Python, SQL, Azure, Big Data Sales, Data Warehousing, Redshift, Data Analytics, ETL, BigQuery, Snowflake Please come over chat and discuss your requirement in a detailed way. Thank You

@nadiiai

Hi, I am a Ukrainian Data Engineer with over 3 years of experience in building and maintaining data pipelines. I specialize in Python and SQL, and I have hands-on experience with tools like Airflow and cloud platforms such as AWS and GCP. I can design efficient ETL processes and ensure data quality and governance. My experience includes working with data warehouses like BigQuery and Snowflake, which will help optimize your data storage solutions. I have a strong analytical mindset and am eager to collaborate with your team to deliver actionable insights. Could we discuss your specific data needs and the current challenges you face? Looking forward to your response. Best, Nadiia

@generosoiii

Hi there, Your team needs a reliable Ukrainian Data Engineer who can turn scattered marketing and analytics data into governed, scalable pipelines without slowing insight delivery. I have spent the last 7 years solving exactly this type of problem: designing Python ETL/ELT workflows, improving SQL transformations, orchestrating Airflow or Prefect jobs, and tuning warehouse models so Snowflake or Redshift stays fast, consistent, and cost-aware. I will review your current sources, define data quality checks, structure incremental loads, optimize storage, and set up monitoring so analysts and marketers can trust the numbers. Which business outcomes should the first data pipelines unlock for your analysts and marketers? Best regards, Generoso III

@Cruz1217

Hello, I am a Data Engineer with strong experience in Python, SQL, and building scalable ETL pipelines. I have worked with Airflow and cloud data platforms such as AWS and GCP to build reliable data workflows and data warehouse solutions. I can design and maintain efficient data pipelines, ensure data quality, and support analytics and marketing teams with clean and structured datasets. I am comfortable working in remote teams and collaborating closely with engineering and analytics departments. Looking forward to working with you.

@yuan38

Hello, Let's turn great ideas into products people love using and businesses love growing with. For the Ukrainian Data Engineer position, the key goal is to design and maintain scalable data pipelines, ensuring data quality, consistency, and governance. However, potential risks may include managing data warehouses efficiently and optimizing storage solutions. To overcome these challenges, a focus on developing ETL/ELT processes and collaborating with cross-functional teams for actionable insights is crucial. With my 3+ years of experience in data engineering, expertise in Python, SQL, and tools like Airflow, I can effectively address these requirements. My knowledge of cloud platforms (AWS, GCP), data warehousing technologies (BigQuery, Snowflake), and ETL best practices positions me well to optimize data infrastructure performance. To better understand your project, I'd like to inquire: 1. How critical is real-time data processing for your business operations? 2. What specific machine learning data workflows are you looking to implement? 3. How do you envision leveraging the data for marketing and analytics purposes? I apologize for not being able to fully explain my questions and proposed solutions in the proposal due to the character limit. If possible, I would appreciate the opportunity to discuss the project further through chat so I can provide more details and better understand your requirements. Cheers, Dax.M

@sai0671

Hi, I specialize in projects like this. I understand the project goals and expected outcome. I will meet deadlines, keep you updated, and deliver high quality work. I am a reliable freelancer with 8+ years of experience in Python, Azure, Data Analytics, SQL, working with clients on a range of projects. Visit my profile to check my latest work and read what clients say. I look forward to our chat to explore how I can help your project. Regards, Sai

@adnanmalik756

Hi, I see that you're looking for a Ukrainian Data Engineer to design and maintain data pipelines and ETL processes, while ensuring data quality and collaborating with various teams. With 7+ years of experience in data engineering, I can help create robust solutions that meet your specific needs. My background in Python and SQL, along with expertise in tools like Airflow and cloud platforms such as AWS and GCP, equips me to build efficient data infrastructures. I have a strong understanding of data warehousing technologies like BigQuery and Snowflake, ensuring optimal data storage and retrieval. I'm particularly focused on collaborating with teams to turn data into actionable insights, which seems crucial for your projects. What types of data challenges are you currently facing that you hope this role will address?

@edgardop86

Hi how are you doing, The post points to building and optimizing data pipelines - that's definitely the right priority. Designing efficient ETL/ELT processes and managing cloud data warehouses are core to robust data insights. My 8 years experience building backend systems and working on LLM data flows fits this well. No guesswork on the main tasks; execution can begin smoothly. Open to discuss details and next steps whenever you're ready - thank you.