Optimizing Data Pipelines and Engineering Solutions in GCP using Apache Spark and pyspark
Background A leading provider of advanced data solutions, was experiencing significant performance bottlenecks in its data processing pipelines. The company relied on legacy systems that could not keep pace with rapidly growing data volumes, leading to delays in analytics and reporting. These issues not only hampered operational efficiency but also increased operational costs and customer …