Juan Martin Pampliega

Juan Martin Pampliega

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Chief Executive Officer
Buenos Aires, Argentina

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Jobs verified_user 0% verified
  • Muttdata
    Chief Executive Officer
    Muttdata
    Apr 2022 - Current (4 years 3 months)
  • Mutt Data
    Co-Founder & Chief Data Architect
    Mutt Data
    Sep 2018 - May 2022 (3 years 9 months)
    Architect, build and maintain Big Data Infrastructures and ETLs in serveral clients like Telcos, large news organizations, international startups and banks. Participated in the development of projects involving Machine Learning for CHURN prediction,anomaly detection, order forecasting and marketing ROI optimization. Setup and configuration of the infrastructure for many of the different projects in AWS, Azure, GoogleCloud and On Premise. Setting up guidelines and best practices for developing ETLs and data quality pipelines over Apache Airflow. Hiring, on-boarding and coaching junior member of the team. Promoting best practices like code reviews, good OOP style, versioning, testing, automated deployments, etc. Developed the company’s messag
  • Digital House
    Specialist
    Digital House
    Jul 2018 - Dec 2020 (2 years 6 months)
    Designed and taught two hands-on classes that give an overview of Apache Spark and its main libraries over Databricks platform.
  • ITBA Educación Ejecutiva
    Assistant Professor
    ITBA Educación Ejecutiva
    Apr 2015 - Current (11 years 3 months)
    Assistant Professor in charge of Big Data Tools subject for a postgraduate specialization in Big Data studies. The subject gives a comprehensive introduction to MapReduce, YARN, Sqoop, Pig, Hive, Spark, Kafka and stream processing technologies.
  • Jampp
    Big Data Tech Lead
    Jampp
    Mar 2015 - Sep 2018 (3 years 7 months)
    Evaluate and propose improvements to the current data infrastructure. Evaluate, setup and implement the usage of Big Data Tools like Apache Spark, Apache Kafka and Amazon EMR to improve and extend the data processing infrastructure. Improve the company's log handling and operational metrics monitoring infrastructure. Support and collaborate with other teams that need to rely on the company's data infrastructure to carry out their tasks. Coordinate with business and data science teams to improve their use and access to the data. Promote and improve the use of the new available data infrastructure to non-technical users. Support, tune and maintain the Big Data infrastructure supporting production processes using Amazon EMR, Apache Hive, Apa
  • GraphPath
    Senior Data Engineer
    GraphPath
    Mar 2014 - Mar 2015 (1 year 1 month)
    Research and implement solutions to achieve business requirements using "Big Data" technologies. Define and implement solutions using different "Big Data" processing frameworks like Apache Hive, Apache Spark, Apache Sqoop, Apache Cassandra. Work with DevOps team to define and implement the best solution to operate and maintain the "Big Data" infrastructure built in Amazon AWS. Work with the operations team to improve the overall performance, achieve cost reduction and better feature set of our current and new products. Collaborate with different teams to define the best architecture to capture, process, store, retrieve information from several sources.
  • Despegar
    Data Engineer
    Despegar
    Mar 2013 - Mar 2014 (1 year 1 month)
    Work with Hadoop, Hive and Oozie to develop and manage data pipelines about Adwords data for the SEM team. Despegar.com is the largest Adwords client in Latin America. Hadoop cluster setup and administration using Cloudera and plain Hadoop distributions. Developed a web application for data management used internally by the SEM team using Wicket, Spring and Hibernate. Migration of Hadoop cluster from a private Cloud to Amazon EC2.
  • Globant
    Senior Java Developer
    Globant
    Feb 2012 - Feb 2013 (1 year 1 month)
    Work as a software engineer at Google.
  • S
    Software Engineer (Vendor)
    Feb 2012 - Feb 2013 (1 year 1 month)
    Develop ETL pipelines for a datawarehouse system about financial and inventory data. The pipelines are developer under Java with Google tools for distributed processing using Map Reduce and Google's cloud infrastructure for deployment. The storage used is a variety of Google's NoSQL implementations.
  • Ataway
    SOA/BPM Consultant
    Ataway
    Mar 2011 - Feb 2012 (1 year)
    Worked integrating multiple systems with Oracle Service Bus that ranged from Siebel CRM to IBM AS-400 mainframes. Developed web applications with ADF.
  • Ingematica SA
    Web applications developer
    Ingematica SA
    Sep 2010 - Apr 2011 (8 months)
    Developed a CMS to power multiple clients websites. Participated in the development of an E-Commerce system for a large apparel vendor.
  • ITBA
    Intern/J2EE developer
    ITBA
    Apr 2010 - Sep 2010 (6 months)
    Web application development with Wicket, Spring and Hibernate.
  • JRapid Corp
    Intern/J2EE developer
    JRapid Corp
    Feb 2009 - Apr 2010 (1 year 3 months)
    Worked in several different projects using the JRapid framework to build custom tailored applications. Developed, administer and mantained a social website for a client in Germany.
Education verified_user 0% verified
  • Instituto Tecnológico de Buenos Aires
    Software Engineer, Computer Science, IT, Programming, Project Management
    Instituto Tecnológico de Buenos Aires
    Jan 2005 - Dec 2010 (6 years)
Projects (professional or personal) verified_user 0% verified
  • I
    Introduction into the Development of Big Data Applications
    Aug 2015 - Nov 2015 (4 months)
    Formulated and taught together with Gustavo Arjones the course "Introduction into the Development of Big Data Applications" as part of Fundación Telefónica's "Big Bang Data" exhibition. During the course we developed topics like data systems evolution, Hadoop 1 and 2, NoSQL, stream processing and Apache Spark with technical hands-on exercises.
Publications verified_user 0% verified
  • A
    Towards an architecture for real-time event processing
    Anales de las ª Jornadas Argentinas de Informática e Investigación Operativa
    Sep 2016
    Evolution of Jampp's Data Infrastructure from OLAP + Batch ETLs to a streaming architecture.
  • A
    Una Plataforma de Real Time Bidding Escalable e Inteligente
    Anales de las ª Jornadas Argentinas de Informática e Investigación Operativa
    Sep 2015
    Work published in the Big Data experiences Track during the first "Simposio Argentino de Grandes Datos".
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