Anhelina Khilman

Data Engineer

Minneapolis, Minnesota, United States6 yrs experience

Key Highlights

  • Expert in building efficient ETL pipelines.
  • Proven track record in automating engineering tasks.
  • Strong background in mentoring junior engineers.
Stackforce AI infers this person is a Data Engineer specializing in Fintech and EdTech industries.

Contact

Skills

Core Skills

Confluent Cloud PlatformPythonPyspark

Other Skills

FlinkAirflowAWS S3Amazon AthenaETLSQLAscendAzure DevOpsNew RelicPostgreSQLTableauDatadogGoogle Cloud Platform (GCP)Amazon S3Terraform

About

Email: angelinakhilman@gmail.com

Experience

6 yrs
Total Experience
1 yr 6 mos
Average Tenure
5 mos
Current Experience

Dv01

Data Engineer II

Dec 2025Present · 5 mos · New York, United States · Remote

Confluent

Data Engineer II

Sep 2024Feb 2026 · 1 yr 5 mos · United States · Remote

Confluent Cloud PlatformFlink

Finsight group inc (finsight)

Senior Data Engineer

May 2024Sep 2024 · 4 mos · New York City Metropolitan Area · Remote

  • Joined following the acquisition of T-REX.

T-rex

Senior Data Engineer

Mar 2022Sep 2024 · 2 yrs 6 mos · Eden Prairie, Minnesota, United States · Remote

  • 1. Designed and built an ETL pipeline using Python and PySpark to populate source financial data. Built a Python script that transformed the customer onboarding process, decreasing the time required from two full days to just 30 minutes.
  • 2. Developed a Python tool to automate Ascend pipeline, shortening the usual engineering task from 1 day to only 10 seconds.
  • 3. Mentored 2 junior engineers and 2 interns, conducted interviews, developed an internal knowledge base.
  • Technologies: Python, PySpark, Airflow, AWS S3, Amazon Athena, ETL, SQL, Ascend, Azure DevOps, New Relic.
PythonPySparkAirflowAWS S3Amazon AthenaETL+4

Itechart group

Data Engineer

May 2020Mar 2022 · 1 yr 10 mos · Eden Prairie, Minnesota, United States

  • 1. Worked on 2 child-friendly educational web applications (LikeNastya, KidsAcademy), integrating two backend features using Python and PostgreSQL to enhance user experience.
  • 2. Maintained and expanded data pipelines by adding 2 new ones with Python and Airflow, integrating Slack Webhooks, and creating visualizations with Tableau.
  • Technologies: Python, Airflow, PostgreSQL, Tableau, Datadog.
PythonAirflowPostgreSQLTableauDatadog

Education

Belarusian State University

Bachelor of Science - BS — Computer Science

Jan 2016Jan 2020

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