Data Migration
Bridgeport
A migration engine that transfers data between incompatible database systems, handling partial records, schema mismatches and rollback on failure.
Product overview
The Challenge
Problem
Legacy system migrations fail when source data is incomplete, inconsistent or spread across multiple schemas with no common key.
How We Solved It
Approach
We developed a configurable pipeline that maps source schemas to target schemas, validates every record, flags partial data for manual review and supports full rollback. Includes a web dashboard for monitoring migration progress in real time.
The Result
Outcome
Reduced manual data reconciliation effort from three working days to under four hours per migration cycle. Eliminated the need for overnight maintenance windows during transfer operations and decreased the error rate on record mapping from one in forty to fewer than one in two thousand.
3 days → 4 hrs
Reconciliation time
1:40 → 1:2000
Error rate reduction
0%
Maintenance windows eliminated
Technologies
Python, FastAPI, PostgreSQL, MongoDB, Redis, Docker
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