Hire the Top Freelance Pyspark Developers in the World

Well-rounded Data Analyst with 2+ years of experience working with agile projects, Big Data, AWS cloud technology, and developing algorithms on Python or Spark for ETL. I am passionate about descriptive analytics, data visualization, and application of data analysis solutions towards Big Data. Proven experience in interpreting and analyzing data to drive growth for companies such as Santander, BNP Paribas, and Vivo.

Well-versed Data/Cloud Engineer, Business Intelligence & Data Scientist Consultant with 10+ years of experience building data-intensive applications, with extensive hands-on knowledge across multiple industries (real estate, oil, Insurance Brokers, etc). I strive to make an impact by creating scalable data platforms and transforming big data into valuable insights using data science and analytics. My primary interests include distributed systems, large-scale structured storage & query optimization, and data exploration and prediction with ML/AI.

Ozan possesses extensive experience in Python development, having utilized the language for various cloud-based projects throughout his career. He has demonstrated proficiency in utilizing Python to automate tasks, develop backend services, and integrate various cloud services seamlessly. Ozan's Python expertise extends to leveraging frameworks such as Flask and Django to build robust and scalable web applications in cloud environments. His familiarity with Python libraries and tools enables him to efficiently solve complex problems and streamline development workflows. Additionally, Ozan stays abreast of the latest advancements in Python and regularly incorporates best practices and emerging technologies into his projects to deliver high-quality solutions.

Seasoned Data Engineer with 12+ years of experience working in various data engineering roles for companies that rely on a strong technology core, where the collection, management, and analysis of data play a key factor in their business model. Strong proficiency in Data Warehouse Architecture, Data integration / ETL&ELT development, Data back-end development, BI Reporting, Project Management, leadership in Agile SCRUM environments, Process tuning and optimization. Hands-on experience working on big data engineering in remote enviroments for global companies.

Matthias is a Senior Data Scientist and Python Developer with close to 10 years of experience in Data Science, Data Engineering, Machine Learning, AI, Deep Learning, NLP, and Python. With an academic background in finance, actuarial science, and mathematics, he combines AI and behavioral economics, develops financial analyses related to Data Science projects, and builds business optimization models.

Naga is a passionate Data Engineer with over 8 years of experience in designing, developing, and optimizing entire data pipelines including data science algorithms in production at scale with operational reliability. He has extensive experience with Python, Shell Scripting, Big Data, Hadoop, Hive, Spark, Kafka, Airflow, as well as cloud environments including AWS and Azure. Naga's expertise includes assessing organizational data needs and architecting the right approach, migrating traditional warehouse platforms to Big Data if necessary.

Marcelo is a Senior Developer with solid knowledge of Python - its models, frameworks, libraries, packages and APIs. He is fluent in C/C++, Fortran, Big Data and Google Cloud Platform. He designs and develops new end-to-end solutions on projects with minimal supervision - building reusable and maintainable to improve code functionality and reliability.

Lijo is an expert Data Engineer proficient in analytics, database design, visualization/insight generation, and data modeling. He is hands-on in Big Data solutions and is abreast of data-focused programming/scripting languages, modern data engineering approaches, and best practices. Lijo manages, manipulates, stores, and parses data through ETL for several target sources, building and maintaining data systems and pipelines.

Connor is a Python Developer writing code for new products, software components, and web applications for 5+ years. He creates, designs, implements and maintains applications in the appropriate environment - troubleshooting and identifying root causes of complex technical issues on projects. He anticipates challenges, mitigates risks, tracks and monitors industry trends and utilizes best practices in solving problems on solutions.

Yuriy is a data specialist with over 15 years of experience in data warehousing, data engineering, feature engineering, big data, ETL/ELT, and business intelligence. As a big data architect and engineer, Yuriy specializes in AWS and Azure frameworks, Spark/PySpark, Databricks, Hive, Redshift, Snowflake, relational databases, tools like Fivetran, Airflow, DBT, Presto/Athena, and data DevOps frameworks and toolsets.