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Vetted Apache Spark developer in Mexico (UTC-6)
Wide experience on software development from around 20 years, using different stack platforms, and playing roles such as: Software Architect, Technical Lead and Senior Software Development Engineer. Currently working with Big Data Applications & Event Driven Architecture using technologies like Spark, Kafka, Spring Boot, Scala, Java, Open Shift over IBM Cloud, Kubernetes, DB2, New Relic, INSTANA, log DNA, Prometheus. I've worked with web applications and microservices architecture with technologies from open source stack such as: Python, Docker, Django, Flask, Javascript (Angular 8, Backbone.js), HTML 5, MongoDB, PostgreSQL, Elasticsearch, Kibana, Linux, bash, nginx, Apache 2, SAML (SSO), AWS (S3, Lambda, EC2), Git, Bitbucket, Jira, Jenkins. Other main technologies: .NET platform, Windows Azure, Ajax, REST, C#, ASP .NET, JS, XML, Patterns Design, Software Architecture, UML. Methodologies: Agile / SCRUM, RUP. Oriented to work for results, with high potential of development, teamwork, push, leadership, highly motivated with new challenges. Willing to travel.
Vetted Apache Spark developer in Mexico (UTC-6)
♦ Senior Full Stack Developer with over 10 years of experience on System Analysis, Architecture Design, Implementation, Integration and Testing of Web Applications. ♦ Data Scientist and Cloud Data Engineer with over 8 years of experience in Big Data analysis and ETL process development in data lake and data warehouse environments. ♦ Extensive expertise on USA and Mexican projects in software development and data analytics with collaboration of team members from different countries.. Technologies / Languages / Applications: Java / JEE, Python, Django & Flask, Scala, Play Framework, Spring framework, Spring Cloud/Webflux, JSF, Primefaces, EJB, SOAP Web Services, RESTful Web Services, JPA, Hibernate, JMS, JAX-RPC, JAX-WS, JAX-RS, JAXB, Apache CXF, JUnit, Selenium, Cucumber, Hadoop, Apache Spark, Apache Kafka, Oozie, HBase, Cassandra, Hive, Pig, Impala, Sqoop, Flume, PySpark, Eclipse, IntelliJ, VS Code, SQL, PL/SQL, XML, JavaScript, AJAX, jQuery, NodeJS, ExpressJS, Jest, AngularJS, React, Vue, HTML5, CSS, ANT, Maven, Gradle, Oracle DB, MySQL, SQL Server, Tomcat, JBoss, Weblogic, Tableau, Git/Github, SVN, Jenkins, Unix, Linux, MacOS, Scrum Methodology, AWS (Athena, Glue, Lambda, Redshift, Cloudformation, DynamoDB, S3, RDS, Batch, Kinesis, EMR, EC2, SQS & API Gateway), Docker, Kafka, Hystrix, Swagger, Open API, Tensorflow, Snowflake, Airflow, Akka, Postgres, Big Query, Google Cloud Platform, MongoDB & Blockchain.
Vetted Apache Spark developer in Mexico (UTC-7)
Enthusiastic and goal-driven Data Engineer with over 13 years of experience in IT industry. Has knowledge in Python, Java, C#, Scala, and Big Data technologies. Experienced in Data Engineering, Data Analysis, ETL Pipelines Development, CI/CD Pipelines development of a variety of applications. Understands how to translate business goals into elegant technical solutions. Possesses good knowledge of programming fundamentals and excellent knowledge of Spring Boot framework, Apache Kafka, Apache Spark, Airflow, Kubernetes, Docker and Cloud. Possesses experience with PostgreSQL, Oracle DB, IBM DB2, AWS S3, AWS EKS, Azure Data Factory and Databricks. A dedicated and persistent person, with clear objectives to be achieved in the professional field. A team player with excellent communication skills but not shy away from working as an individual contributor. Highly creative, with initiative and punctuality, responsibly assume the challenges and goals.
Vetted Apache Spark developer in Mexico (UTC-6)
Highly skilled and motivated data engineer with 5+ years of experience in designing and implementing data pipelines, big data solutions, data architecture, and business intelligence. Excellent written and oral communication skills in English and Spanish. Proven ability to collect, process, and analyze large datasets to meet business requirements. Always willing to learn, implement my skills and associate knowledge, to innovate, design and develop solutions for complex business problems.
Vetted Apache Spark developer in Mexico (UTC-6)
I am a Senior Data Engineer with a rich history of implementing, optimizing, and maintaining large-scale data infrastructures. Currently, I am amplifying data solutions at Dow Jones. During my tenure, I've strategically harnessed the capabilities of AWS and GCP, and have successfully elevated Dow Jones' data transactions through the deployment of advanced PySpark scripts on AWS EMR clusters. My professional journey has always been underscored by my commitment to teamwork. I am known for being a great team player who consistently goes above and beyond the call of duty. Whether it's stepping up to take on additional responsibilities or extending a helping hand to my teammates, I take pride in contributing positively to the collaborative spirit of any project. Beyond my technical competencies, my passion lies in leveraging data to drive actionable insights for businesses and fostering an environment of collaboration and mutual growth.
Vetted Apache Spark developer in Mexico (UTC-6)
**Key words: Data science, Machine learning, Deep learning, Python, SQL, Data visualization, Cloud computing, Business analytics.** Hello dear colleague, my name is Orlando. I have been working with data for the last 5 years. In this period, I have been applying advanced data analytics and machine learning techniques to create innovative solutions, primarily in business and urban sector, using languages such as Python, SQL and recently a bit of Mojo. I consider myself passionate about technology and business. As a professional, my goal is to use my passion, soft and technical skills to create innovative and high-impact tech solutions.
Vetted Apache Spark developer in Mexico (UTC-6)
Data Scientist experienced in analytics and machine learning. Enjoys teamwork and tech-driven methods, with a passion for sustainable engineering and optimizing energy use. Skilled in finance and risk projects, effective in communication and organization. Recognizes the importance of high data quality and is committed to ensuring accurate and reliable insights.
Vetted Apache Spark developer in Mexico (UTC-6)
Be a professional and a researcher capable of solving data driven models by applying Data Engineering and Machine Learning models. Data Engineer and Researcher in Computer Science oriented to design and develop solutions related to Data and Analytics, and Machine Learning. * Solving problems by application of Research methods in Machine Learning and Data Engineering. * Experienced in Big Data Technologies like Hadoop, Scala, and Spark. * Experienced in using cloud computing environments like Microsoft Azure and Google Cloud. * Experienced in the management of IT resources and projects. * Experienced in Programming Languages: C/C++, Java, Python, Scala, C#, Matlab, and R. * User of SQL language with the following RDBMS: SQL Server, MySQL, PostgreSQL, and Spark-SQL.
Vetted Apache Spark developer in Mexico (UTC-6)
Machine Learning Engineer. **TECHNICAL SKILLS:** Machine Learning and Deep learning. Statistics, A/B hypothesis testing and confidence intervals. Software for Data Science and Machine learning: Python (Numpy, Scipy, Pandas, Matplotlib, Seaborn, Sklearn, TensorFlow, Keras, MLFlow). Cloud Providers (AWS, GCP) DevOps (CD CI with Travis CI, Circle CI, Docker, Kubernetes) Back end Development (Flask, FastAPI, Django, Java J2EE, Kafka). Data processing (Kafka, Athena, Glue, Hadoop, Spark, PubSub) Databases/Data warehouses (Neo4J, SQL Server, PostgreSQL, Redshift, BigQuery)
Vetted Apache Spark developer in Mexico (UTC-6)
Leticia Díaz is a consultant with 12 years of experience in Banking, Retail, Insurance and Pharmaceutical industries related to Statistical analysis, Business Intelligence and Machine Learning algorithms whose main objective is to produce predictive and prescriptive analytics to ensure that the organization has efficient and timely analytics to support their strategy execution. Possesses skills in finance, logistics, business intelligence, engineering, data science and prevention of money laundering. It applies a leading financial planning and analysis capability to inform Senior Management on key trends and analysis of the most significant variables.
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