Manik Hossain

Manik Hossain is a highly experienced Data Engineer at Improving, with over 10 years of IT experience, including 6+ years in software engineering and 4+ years specializing in data engineering. Manik has a strong track record of designing and optimizing high-performance Big Data ETL pipelines—both batch and streaming—across on-premises and cloud environments.

He has successfully engineered low-latency, high-throughput data solutions capable of processing 10+ TB of data per day, leveraging technologies such as Apache Spark, Kafka, Hive, Google Cloud Platform (Cloud Functions, Pub/Sub, Dataflow, BigQuery), and Terraform. His expertise extends to CI/CD, cost optimization, infrastructure automation, and pipeline resilience.

Manik is passionate about solving complex data challenges and building scalable, reliable architectures that deliver real-time insights with sub-second latency. He actively shares his knowledge through technical blogs, focusing on cloud-native patterns, performance tuning, and modern data engineering practices.

When he's not optimizing pipelines, Manik enjoys exploring innovative cloud solutions and collaborating with the wider tech community.