Marisa Borges

Data Engineer @Zalando

Berlin, DE

I started as the first Data Engineer for the data team embedded in the Customer Satisfaction (CSat)team. CSat was a new team within Zalando, the initial effort was about migrating the data, pipelinesand code to a new domain and do data quality checks. Then I started working on new features andimprovements, the project was about collecting the customer satisfaction when shopping at Zalandoincluding website experience until getting the items or even returning them- I was gathering requirements with the CSat team, defining their prioritisation and timelines, we usedwaterfall methodology with ASANA software- Creating dashboards available for all Zalando where we can see the customer satisfaction stepby step while shopping and easily identify the areas that need to be improved, using MicroStrategy.Engagement with the new dashboard is still steadily since it was realised in December 2022- Gathering data from Qualtrics (survey collected data). Added new sources from S3 buckets/Datalaketo enrich the data with order and customer details such as was the order cancelled, items werereturned, the delivery was on time, was it sold by Zalando or a partner,(.). All the data is stored inS3 buckets, later is accessible in Datalake and Exasol. The ETL process is done with python scripts,automated in Airflow and uses Databricks cluster to run the scripts.My impact since I joined the CSat team was improving the survey completion rate of the survey by 8%reducing the number of redundant questions, improved the sample size by 53% merging 3 surveys in 1