Telecom

Telecom data engineering case studies

Big-data finance platforms and reporting for telecom operators: Cloudera, Spark and Hive workflows that cut financial-reporting errors by 50%.

1 engagement in this sector

Data EngineeringDelivered

Finance Cockpit & Intelligent Collections on Cloudera

A big-data platform that cut financial-reporting errors by 50%

Operationalised a Cloudera-based big-data platform for a telecom operator’s finance function: 10 workflows and ~50 scripts across Spark, Impala, Hive…

+30%optimised workflows

PythonPySparkSQLApache Spark

View Case Study

Working on something similar in telecom?

Every engagement above started with a bill, a deadline or a pipeline that had already failed. If you have one of those, tell me the shape of it and I will tell you whether it is a three-day job or a three-month one before you commit to anything.

Start a conversation See services and rates

Other sectors

Banking & Financial Services Utilities & Energy Aviation & Aerospace Consumer Goods & Retail Healthcare, Public Sector & Research

Taking on new engagements · Remote worldwide

Have a data, automation or AI decision worth getting right?

Whether that is ongoing technical ownership, one independent read on a problem, or someone to run the project. Let's scope it — I reply within one business day.

Start a Conversation Connect on LinkedIn