Ankush Khanna
Member Of Technical Staff at Cohere
Berlin, Germany
Summary
🤩
Rockstar🎓
Top SchoolAnkush Khanna is a Berlin-based Member of Technical Staff with 11 years of experience building scalable data and streaming systems across startups and large enterprises. He has led data engineering teams and shipped production pipelines using Kafka, Spark, Flink, Kafka Connect, and cloud data lakes while mentoring engineers on best practices. His recent roles at Cohere, Billie, Shopify and Wayfair reflect a blend of hands-on implementation and technical leadership across real-time and batch architectures. Ankush is an active contributor and co-instructor to the popular DataTalksClub Data Engineering Zoomcamp, where he added BigQuery ML examples and end-to-end Kafka+Avro pipelines. Comfortable in Scala and Python, he brings a pragmatic focus on partitioning, performance and operationalizing ML workflows—often tackling tricky geodata and streaming challenges. Curious by nature, he pairs deep systems knowledge with a habit of teaching others, which surfaces in both open-source work and internal guild leadership.
11 years of coding experience
11 years of employment as a software developer
Bachelor of Engineering (BE), Computer Science, Bachelor of Engineering (BE), Computer Science at Maharshi Dayanand UniversityHigh School, 10+2, High School, 10+2 at Chinmaya Vidyalaya, New DelhiMaster's Degree, Computer Science, Master's Degree, Computer Science at The University of Bonn
Hindi, English
Github Skills (14)
kafka10
bigquery10
data-pipeline10
data-pipelines10
sql10
data-warehouse10
datamart10
data-engineering10
dockers9
docker9
avro9
dbt8
python8
spark4
Programming languages (5)
Github contributions (5)
DataTalksClub/data-engineering-zoomcamp
Oct 2021 - Jan 2023
Data Engineering Zoomcamp is a free 9-week course on building production-ready data pipelines. Join the course here 👇🏼
Role in this project:
Data Engineer
Data EngineerContributions:3 reviews, 48 commits, 37 PRs in 1 year 3 months
Contributions summary:Ankush primarily contributed to data engineering tasks within the repository. Their work included writing SQL queries for data warehousing in BigQuery, creating external and partitioned tables, and demonstrating the impact of partitioning on query performance. They also added examples of machine learning models in BigQuery and implemented and tested a data pipeline using Kafka and Avro. Furthermore, the user worked on integrating various stream processing examples using Faust.
data-engineeringdata-pipelinedata-pipelineskafkaspark
AnkushKhanna/ankushkhanna.github.io
Jun 2017 - Jul 2020
Contributions:12 PRs, 37 pushes, 12 branches in 3 years 1 month
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