Hire the Top 2% of
Freelance Data Engineering Developers
in North America

Jixiong H.

Data Engineering developer in the United States (UTC-5)

Result-driven Data Scientist Manager with over 15 years of diverse experience in information technology and data science. Proficient in leading data science teams and developing scalable products and workflows using machine learning and artificial intelligence. Led numerous projects resulting in increased efficiency and revenue growth. Skilled in project management, data analysis, and implementing ML/AI solutions. Excellent interpersonal, communication, and management skills with a proven ability to establish rapport with individuals at all professional levels.

Noah P.

Vetted Data Engineering developer in the United States (UTC-5)

Data Engineer experienced in building data pipelines, machine learning models, and infrastructure-as-code. Skilled in bridging business and engineering perspectives to scale up enterprise analytics. Passionate about building reliable data architectures that users depend on.

Bummy A.

Vetted Data Engineering developer in the United States (UTC-5)

I have an exceptional understanding of Data Engineering, Business Intelligence Data Warehouse, and Salesforce concepts. I possess profound knowledge of databases and cloud formation services. I am skilled in SQL writing, analytical skills, and reporting and dashboard development. I have experience in ETL processes and integrating and configuring partner connection apps. I am knowledgeable in Salesforce Sales Cloud and have experience in data modeling and data quality. I have worked as an Application Developer/ETL, Marketing Data Engineer, Data Engineer/Salesforce Admin Consultant, ETL Developer/Data Engineer, and ETL Developer. I have a Master's degree in Information Technology and certifications in Salesforce Admin and AWS Solution

Maksim S.

Data Engineering developer in Canada (UTC-4)

An industrious, astute, and technically-focused data engineer with hands-on experience in building analytics tools that utilize the data pipeline to provide actionable insights. Ability to deal well with ambiguity, prioritize needs, and deliver results in a dynamic environment. Passionate about finding solutions for challenging and complex data problems. Interested in working with Python, SQL, Airflow, dbt, AWS, Databricks, Snowflake.

Asher B.

Vetted Data Engineering developer in the United States (UTC-7)

Strong technology leader with hands-on experience scaling ventures and scaling engineering functions in large fortune companies. I have a strong background in software design, backend programming, distirbuted systems, machine learning, model-training, AI Agent development, big data engineering, cloud computing, and I also pioneered test-driven DevOps.

Jon M.

Data Engineering developer in the United States (UTC-5)

I'm an experienced software engineer with a passion for mentoring the next generation of developers. Over a decade, I've honed my skills in, Java, Python and web development, specializing in cloud platforms and distributed systems. As your mentor, my goal is to share my expertise, guide you through challenges, and help you become a confident, capable coder. Let's embark on your programming journey together!

Sachi P.

Vetted Data Engineering developer in Canada (UTC-4)

Over 6+ years of experience in Data Engineering, Data Pipeline Design, Development and Implementation as a Sr. Data Engineer and Data Developer. • Strong experience in Software Development Life Cycle (SDLC) including Requirements Analysis, Design Specification and Testing as per Cycle in both Waterfall and Agile methodologies. • Strong experience in writing scripts using Python API, PySpark API and Spark API for analyzing the data. • Experience with Azure Cloud, Azure Data Factory, Azure Data Lake Storage, Azure Synapse Analytics, Azure Analytical Service, Big Data Technologies (Apache Spark) • Experience with GCP Cloud Storage, Big Query, Composer, Cloud Dataproc, Cloud SQL, Cloud Functions, Cloud Pub/Sub • Worked on ETL Migration services by creating and deploying AWS Lambda functions to provide a serverless data pipeline that can be written to glue catalog and queried from Athena. • Extensively used Python Libraries PySpark, Pytest, Pymongo, PyExcel, Psycopg, embedPy, NumPy and Beautiful Soup. • Migrated an existing on-premises application to GCP. Used GCP services like Cloud Dataflow and Dataproc for small data sets processing and storage. • Hands On experience on Spark Core, Spark SQL, Spark Streaming and creating the Data Frames handle in SPARK with Scala. • Experience in NoSQL databases and worked on table row key design and to load and retrieve data for real time data processing and performance improvements based on data access patterns. • Experience with Unix/Linux systems with scripting experience and building data pipelines. • Extensive experience in Hadoop Architecture and various components such as HDFS, Job Tracker, Task Tracker, Name Node, Data Node, and Map Reduce concepts. • Performed complex data analysis and provided critical reports to support various departments. • Expertise in development of various reports, dashboards using various PowerBI and Tableau Visualizations • Experience in building large scale highly available Web Applications. Working knowledge of web services and other integration patterns. • Experienced with version control systems like Git, GitHub, CVS, and SVN to keep the versions and configurations of the code organized. Efficiently facilitating task tracking and issue management using JIRA. • Good communication skills, work ethics and the ability to work in a team efficiently with good leadership skills. • Experience with continuous integration and automation using Jenkins. • Experience building docker image using accelerator and scanning images using various scanning techniques • Over 6+ years of experience in Data Engineering, Data Pipeline Design, Development and Implementation as a Sr. Data Engineer and Data Developer. • Strong experience in Software Development Life Cycle (SDLC) including Requirements Analysis, Design Specification and Testing as per Cycle in both Waterfall and Agile methodologies. • Strong experience in writing scripts using Python API, PySpark API and Spark API for analyzing the data. • Experience with Azure Cloud, Azure Data Factory, Azure Data Lake Storage, Azure Synapse Analytics, Azure Analytical Service, Big Data Technologies (Apache Spark) • Experience with GCP Cloud Storage, Big Query, Composer, Cloud Dataproc, Cloud SQL, Cloud Functions, Cloud Pub/Sub • Worked on ETL Migration services by creating and deploying AWS Lambda functions to provide a serverless data pipeline that can be written to glue catalog and queried from Athena. • Extensively used Python Libraries PySpark, Pytest, Pymongo, PyExcel, Psycopg, embedPy, NumPy and Beautiful Soup. • Migrated an existing on-premises application to GCP. Used GCP services like Cloud Dataflow and Dataproc for small data sets processing and storage. • Hands On experience on Spark Core, Spark SQL, Spark Streaming and creating the Data Frames handle in SPARK with Scala. • Experience in NoSQL databases and worked on table row key design and to load and retrieve data for real time data processing and performance improvements based on data access patterns. • Experience with Unix/Linux systems with scripting experience and building data pipelines. • Extensive experience in Hadoop Architecture and various components such as HDFS, Job Tracker, Task Tracker, Name Node, Data Node, and Map Reduce concepts. • Performed complex data analysis and provided critical reports to support various departments. • Expertise in development of various reports, dashboards using various PowerBI and Tableau Visualizations • Experience in building large scale highly available Web Applications. Working knowledge of web services and other integration patterns. • Experienced with version control systems like Git, GitHub, CVS, and SVN to keep the versions and configurations of the code organized. Efficiently facilitating task tracking and issue management using JIRA. • Good communication skills, work ethics and the ability to work in a team efficiently with good leadership skills. • Experience with continuous integration and automation using Jenkins. • Experience building docker image using accelerator and scanning images using various scanning techniques

Jacob B.

Data Engineering developer in the United States (UTC-5)

I am an experienced coding professional that has specialized in database-driven analytical applications for the past 12 years. This has created the opportunity to use a wide variety of languages, frameworks, and technologies. I am certain we can solve almost anything.

Salim A.

Data Engineering developer in the United States (UTC-5)

I'm Salim El Awad, a data engineer by profession, machine learning enthusiast, and passionate tutor in the making. My academic background in computer science, combined with my hands-on experience in the technology sector, has cultivated my expertise and an intricate understanding of various programming languages, primarily Python. I appreciate Python for its simplicity and the power it has to render substantial outcomes with minimal input. My technical arsenal also includes in-depth knowledge and extensive experience with statistics, mathematics, continuous integration (CI), continuous deployment (CD), SQL, and Git. Throughout my career, I've adopted leading roles where I have developed innovative applications, designed efficient data pipelines, and enhanced the accuracy of data processing workflows. Although I am currently residing in the United States, I have roots in Venezuela. The cultural diversity has lent me bilingual proficiency in English and Spanish, facilitating seamless communication in varied environments. Furthermore, my tenure as a teaching assistant allowed me to develop strong pedagogical abilities and enhance my leadership skills. This experience piqued my interest in tutoring, as I realized how rewarding it is to help others overcome academic hurdles and excel in their chosen fields. A distinguished graduate and valedictorian in the field of computer science, my commitment to continual learning and growth is unwavering. Now, as I aspire to venture into the realm of tutoring, I am eager to share my knowledge and experiences, and help others conquer the intriguing world of computer science.

Rakesh G.

Data Engineering developer in the United States (UTC-4)

Data engineer with 5+ years of experience in developing distributed data-driven applications, data science solutions, analytical and bigdata systems with resilient architecture and comprehensive testing. Design Data model for optimal storage, built distributed and scalable customer notification center database and APIs in agile methodology improved data collection, personalized emails by 85%. Enabling Data Modeling, governance, management best practices in the cloud ecosystems reduced $50K per quarter in customer experience department.