Reviews Spark, Delta, and batch pipeline code for data engineering quality: partitioning, incremental patterns, shuffle risk, idempotency, and operational safety. Use when reviewing ETL notebooks, PySpark jobs, Delta MERGE/INSERT, or when the user asks for a data pipeline code review.
Guides safe configuration for Databricks jobs and notebooks: secret scopes, parameters vs secrets, structured logging without sensitive data, and failure modes when secrets are missing. Use when wiring credentials, fixing logging, or hardening a Databricks workflow for production.
Builds Databricks Jobs workflows from user-supplied notebook paths: Databricks Asset Bundle (DAB) YAML, job task graphs, cluster or job-cluster settings, and optional task dependencies. Use when the user lists workspace or repo notebook paths, asks for a Databricks job, workflow, DAG, or bundle definition for those…
Delta Lake table operations for data engineers: MERGE, incremental append, ZORDER, OPTIMIZE tradeoffs, VACuum cautions, and time travel caveats. Use when the user designs or debugs Delta tables, small files, or table maintenance jobs.
Answers NEPSE (Nepal Stock Exchange) share price / OHLC / history questions using web search, then returns a clear summary or table. Use when the user asks for NEPSE share price history, OHLC, past closes, or chart-related data for specific stocks or tickers.
Returns only the domain registration / creation date for a URL or hostname using public web lookups (ICANN Lookup, TLD registry RDAP/WHOIS pages)—no summary of page content, no Wayback, no certificate history. Use when the user asks for domain age, when a domain was created, registered on date, or WHOIS creation date…