Speakers: Aimee Barciauskas

Data Engineer at Development SeedShe/Her

Picture of Aimee Barciauskas


Aimee Barciauskas is the Earth Data Team Lead and a data engineer at Development Seed. She has 10 years of experience in cloud and software engineering with a focus in building scalable data and web applications. She holds a Masters in Data Science and a Bachelors in Economics. Barciauskas works on multiple projects with NASA and ESA to expose their vast archives of Earth Observation data and make it usable to scientists via open science platforms.

She is also an engaged member of the NASA Earth Sciences community, working with scientists to better understand their workflows and expose new technologies to support them. Barciauskas participates in the Earth sciences community through her roles as ESIP Cloud Computing Cluster chair, Pangeo Steering Council Member and volunteer for UW’s eSicence Hackweeks. This engagement has developed an understanding of NASA’s and researchers' technical and scientific challenges and goals which makes her uniquely positioned to develop the right technical solutions.

On the agenda

  1. Open and Collaborative Science

    Sep. 29, 10:00am Panel The Central Hub

    NASA has designated 2023 as the Year of Open Science. The shift to shared cloud data and services creates new opportunities for open, collaborative, and replicable science; accellerating the transition from research to application; and increasing transparency and confidence in science-based understanding.

    But a long path remains between the pricipals behind open science and FAIR (findability, accessibility, interoperability, and reusability) data and the actualization of this vision. The panelists will explore where we are on this journey and the path ahead.

  2. Analysis Ready, Cloud Optimized - The State of Formats and Services

    Sep. 29, 11:30am Panel The Central Hub

    This is an exciting moment for analyzing data at scale. We've seen commitments to host massive earth data archives on publicly accessible cloud infrastructure; investments in analysis ready data products; the evolution of new cloud-native data formats and tooling; and massive improvements in modeling, AI and other approaches to generating insights at speed and scale. This session will explore definitions and standards for Analysis Ready, Cloud Optimized data and what is required to produce and process this data.



  1. Amazon Web Services (AWS)

  2. Caribou Space

  3. Esri

  4. National Aeronautics and Space Administration (NASA)

  5. Picterra

  6. Planet

  7. Replicable AI for Microplanning (RAMP)

  8. SparkGeo

  9. United States Agency for International Development (USAID)


  1. Azavea

  2. Capella Space

  3. D4DInsights

  4. Element84

  5. European Space Agency (ESA)

  6. Locana

  7. PLACE

  8. Radiant Earth Foundation

  9. TileDB

  10. Umbra


  1. Cyient

  2. Development Seed

  3. DevGlobal

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