--- title: "Farbod Ahmadian (@farbodahm) | Hashnode" description: "Software Engineer. Read the latest articles by Farbod Ahmadian on Hashnode." url: "https://hashnode.com/@farbodahm" --- @farbodahm # Farbod Ahmadian @farbodahm · Joined April 2024 Software Engineer ### [How we use Claude to write code](https://blog.datachef.co/how-we-use-claude-to-write-code?utm_source=hashnode&utm_medium=feed) How we use Claude at DataChef to write better code without losing control. Practical rules, real workflows, and lessons from production. 4 min read · [blog.datachef.co](https://blog.datachef.co/how-we-use-claude-to-write-code?utm_source=hashnode&utm_medium=feed) [Mar 26](https://hashnode.com/posts/how-we-use-claude-to-write-code/69c53e9a10e664c5dad9536c) ### [Agent/Non-Agent based monitoring & Distributed tracing](https://blog.datachef.co/agentnon-agent-based-monitoring-and-distributed-tracing?utm_source=hashnode&utm_medium=feed) Introduction When monitoring applications and infrastructure, businesses usually choose between agent-based and non-agent based monitoring solutions. Some tools, such as Datadog or Splunk, can use agent-based approaches, while both also support non-a... 5 min read · [blog.datachef.co](https://blog.datachef.co/agentnon-agent-based-monitoring-and-distributed-tracing?utm_source=hashnode&utm_medium=feed) [Aug 20, 2025](https://hashnode.com/posts/agentnon-agent-based-monitoring-and-distributed-tracing/68a5c2270ee5747f326f47b8) ### [Sparkle: Accelerating Data Engineering with DataChef’s Meta-Framework](https://blog.datachef.co/sparkle-accelerating-data-engineering-with-datachefs-meta-framework?utm_source=hashnode&utm_medium=feed) Sparkle is revolutionizing the way data engineers build, deploy, and maintain data products. Built on top of Apache Spark, Sparkle is designed by DataChef to streamline workflows and create a seamless experience from development to deployment. Our go... 4 min read · [blog.datachef.co](https://blog.datachef.co/sparkle-accelerating-data-engineering-with-datachefs-meta-framework?utm_source=hashnode&utm_medium=feed) [Nov 14, 2024](https://hashnode.com/posts/sparkle-accelerating-data-engineering-with-datachefs-meta-framework/6735bd500367fcccb2efd455) ### [Leveling up KafkaOps with Conduktor Console](https://blog.datachef.co/leveling-up-kafkaops-with-conduktor-console?utm_source=hashnode&utm_medium=feed) As organizations embrace streaming data, Apache Kafka has emerged as the backbone for low-latency, high-throughput event processing. This distributed streaming platform enables companies to build real-time data pipelines and streaming applications. H... 6 min read · [blog.datachef.co](https://blog.datachef.co/leveling-up-kafkaops-with-conduktor-console?utm_source=hashnode&utm_medium=feed) [Nov 11, 2024](https://hashnode.com/posts/leveling-up-kafkaops-with-conduktor-console/6731d7831af4765db3305faf) ### [Apache Iceberg Compaction](https://blog.datachef.co/apache-iceberg-compaction?utm_source=hashnode&utm_medium=feed) Compact your Iceberg tables using Spark or AWS Athena 4 min read · [blog.datachef.co](https://blog.datachef.co/apache-iceberg-compaction?utm_source=hashnode&utm_medium=feed) [May 14, 2024](https://hashnode.com/posts/apache-iceberg-compaction/66431304a74fcdc00b7a65cd)