Worked on the timescale/timescaledb repository to address a critical limitation in continuous aggregates compression policies. Focused on database administration and performance tuning, the developer delivered a bug fix that enabled compression policies to function even when the compression window overlaps with the refresh window. By making compressed chunks mutable during refresh, the solution allows necessary deletions and insertions, reducing configuration complexity and storage overhead for large time-series workloads. The work was implemented using SQL and C, broadening the applicability of compression policies in continuous aggregates and streamlining operational workflows for users managing high-volume time-series data in TimescaleDB environments.