[Issue 2968] Fix minor bug in process duration logging (#3963)

## Summary
Fixes #2968

### Time to review: __2 mins__

## Changes proposed
> What was added, updated, or removed in this PR.

Adds a cast to a float value to avoid type mismatch. 

## Context for reviewers
> Testing instructions, background context, more in-depth details of the
implementation, and anything else you'd like to call out or ask
reviewers. Explain how the changes were verified.

Last sprint I added a simple timer to measure and log process duration.
Whereas the logging statement worked as intended locally on my MBP,
today I noticed that when running in an AWS step function container the
log statement throws a type mismatch error, because the float is being
interpreted as a string.

## Additional information
> Screenshots, GIF demos, code examples or output to help show the
changes working as expected.

analytics/src/analytics/cli.py

@@ -89,7 +89,9 @@ def export_github_data(
     start_time = time.perf_counter()
     GitHubProjectETL(config).run()
     end_time = time.perf_counter()
-    logger.info("extract workflow executed in %.5f seconds", end_time - start_time)
+    logger.info(
+        "extract workflow executed in %.5f seconds", float(end_time - start_time),
+    )
 
 
 # ===========================================================
@@ -154,7 +156,9 @@ def transform_and_load(
     # sync data to db
     etldb.sync_data(dataset, datestamp)
     end_time = time.perf_counter()
-    logger.info("transform and load is done after %.5f seconds", end_time - start_time)
+    logger.info(
+        "transform and load is done after %.5f seconds", float(end_time - start_time),
+    )
 
 
 @etl_app.command(name="extract_transform_and_load")
@@ -183,7 +187,7 @@ def extract_transform_and_load(
     start_time = time.perf_counter()
     extracted_json = GitHubProjectETL(config).extract_and_transform_in_memory()
     end_time = time.perf_counter()
-    logger.info("extract executed in %.5f seconds", end_time - start_time)
+    logger.info("extract executed in %.5f seconds", float(end_time - start_time))
 
     # hydrate a dataset instance from the input data
     logger.info("transforming and loading data")
@@ -192,7 +196,9 @@ def extract_transform_and_load(
     # sync dataset to db
     etldb.sync_data(dataset, datestamp)
     end_time = time.perf_counter()
-    logger.info("transform and load executed in %.5f seconds", end_time - start_time)
+    logger.info(
+        "transform and load executed in %.5f seconds", float(end_time - start_time),
+    )
 
     logger.info("ETL workflow is done")