Hire the Top Freelance Azure Databricks Developers in the World

I am a versatile DWH/ETL Developer with 10+ years of technical expertise in data engineering; a certified SAP and Microsoft professional specialist well-versed in system and network administration and cloud data solutions. I am very hands-on in approach; using regular client engagements to deliver excellent design solutions, data analysis and troubleshooting on projects for clients.

Al Mahdi is a digital transformation expert at the forefront of the AI revolution who guides businesses through the transformative power of AI and offers clients a comprehensive and personalized support system that addresses their specific challenges. With expertise in developing systems that use Machine Learning, neural networks, and new technologies, he crafts highly performant software using a client-centered approach and feedback to fine-tune the quality of solutions delivered to clients. Boasting a diverse set of technical skills, ranging from Big Data and BI to business analysis and AI, allows Al Mahdi to navigate complex challenges, identify valuable insights, and develop actionable ROI-centric solutions.

Driven Software Engineer, with 7+ experience in working with BI/Data Warehouse/ELT alongside other technologies, in automotive, retail and e-commerce companies. Having had both technical and non-technical roles, I have a clear understanding of the client's point of view, which was an important advantage in building a BI project from scratch and managing 4TB data increasing at the rate of 40GB/day.

Naman is a passionate data engineer with 7 years of experience in the analysis, design, development, implementation, maintenance and support, with experience in developing strategic methods for deploying big data technologies. Hands-on experience in the design, implementation, and productionalization of an enterprise-grade ML on big data solution for two Fortune 500 financial institutions. Highly-skilled in working with Databricks, Azure, ADF, Spark, and Scala.

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.

Marius is a Data Engineer well-versed in the workings of large-scale big data environments - building clean pipelines and maintaining data products on projects. He establishes scalable processes for managing data solutions, modifies ML algorithms to address user requirements and implements new proof of concepts for clients. He leverages creative data solutions with analytical skills to continue driving innovation on projects.

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.

Muhammad is a React.js Developer with hands-on JavaScript and frontend frameworks expertise in owning complete products and features on projects. He is abreast with complex management tools - developing reusable UI components and libraries on solutions. He translates designs and wireframes into high-quality code - building new, scalable components for client-facing and end-user facing applications.

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.

Agnaldo is a Data Engineer proficient in BI and data analytics, comfortable with Python, and helping clients build and tune their databases using SQL Server. He understands modern data lifecycle and concepts in architecting, building, and maintaining solutions using code and data engineering tools. Agnaldo works on high-priority production support issues, troubleshooting and formulating solutions to address issues promptly.