
Ellis Early Learning partners with families to provide high-quality early childhood education in a warm, nurturing environment for children 0-5. A recognized leader in our field, we support children across the socio-economic spectrum, treasure diversity in all forms, and celebrate the joy of childhood.
Project Description:
Integrating Child-Level Data Across Systems at Ellis Early Learning
We are seeking technical support to help integrate and connect multiple data sources currently used across our early childhood program. Child-level information—including enrollment, classroom placement, assessments, and family supports—lives across several systems and databases and spans a large and growing number of children, classrooms, and program years. Because enrollment and classroom assignments change frequently throughout the year, it has been difficult to maintain consistent child identifiers and relational links across systems, making it challenging to create a single, reliable view of each child over time.
As a result, staff rely heavily on manual data entry, reconciliation, and repeated matching across datasets, which is time-intensive and increases the risk of errors as data volume grows. This fragmentation also limits our ability to conduct longitudinal analyses and identify meaningful patterns and trends across children, classrooms, and time.
Our goal is to develop a more integrated and scalable data architecture that supports linking child-level data across systems using shared identifiers, improved data models, and streamlined data flows. This would reduce manual processes, improve data quality, and allow us to make better use of a large and complex dataset to support evaluation, continuous improvement, and timely decision-making for children and families.
Time Commitment by the Volunteer:
Desired start date: 03/01/26
Desired end date: 09/01/26
Estimated time commitment by volunteer(s): 3-5 hours per week
Specific Skills Required:
NDA required.
Some coding language.
Experience in Airtable/HyperDb or any DataBases.

The deadline for submissions to this project is 03/06/26.