Data Engineer with Telecom Background


Last Updated: 1st May 2020 (over 2 years ago)

Address
United Kingdom

E-mail
Locked

Phone Number
Locked

Gender
Male

Age Range
25 to 34

Qualification Level
Degree

Languages
English, German, Hindi

Summary

Data Engineer with 8 yrs of Experience in Telecom Domain. I have worked on Data Ingestion, Pre-Processing, Pipelining, Feature Engineering, and Storage.
Using tools like IBM SPSS, SQL, Python, Spark, Linux Shell.

Experience

Ericsson
Data Engineer

   Jun 2017
— Current

• Model development and Prediction on Telecom Use Cases.
• Data Handling, pre-processing on Distributed systems using Pyspark and Python
• Data flow design and script scheduling using Airflow and Kedro.
• Pipeline building in GCP using DataPrep and DataFlow and analysis in BigQuery.
• Handling streaming Data using Pub/Sub and storage in Cloud Storage.
• Feasibility check and deployment of scripts for Data Extraction, processing and storage in SQL DBs
• End to end design and deployment flow using SQL, IBM SPSS and IBM Cognos
• SQL database management and housekeeping.
• Training and assisting Team members in Delivery.
• Got awarded ‘Ace Award’ for looking into End-to-End delivery.

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