Devath Bhandary is a driven Data Engineer with over 5 years of experience designing and optimizing data pipelines, automating processes, and delivering scalable solutions across retail and pharmaceutical industries. He began his career working with retail data at Levi Strauss & Co., before moving on to lead large‑scale data engineering projects for clients such as Johnson & Johnson, Pfizer, and Amgen. Proficient in Big Data technologies (Spark, Hadoop, Kafka) and skilled across cloud platforms (AWS, GCP, Azure), Devath has hands‑on expertise in data warehousing tools like Snowflake, Delta Lake, and Apache Iceberg, as well as orchestration frameworks including Apache Airflow and Databricks Workflows. He is also experienced in BI and visualization tools such as Power BI and Tableau, enabling him to bridge technical solutions with business insights. With a strong foundation in programming (Python, Scala, SQL, PySpark, Bash), Devath specializes in building efficient, cost‑effective, and innovative data solutions that empower organizations to make faster, data‑driven decisions.

Devath A Bhandary

Devath Bhandary is a driven Data Engineer with over 5 years of experience designing and optimizing data pipelines, automating processes, and delivering scalable solutions across retail and pharmaceutical industries. He began his career working with retail data at Levi Strauss & Co., before moving on to lead large‑scale data engineering projects for clients such as Johnson & Johnson, Pfizer, and Amgen. Proficient in Big Data technologies (Spark, Hadoop, Kafka) and skilled across cloud platforms (AWS, GCP, Azure), Devath has hands‑on expertise in data warehousing tools like Snowflake, Delta Lake, and Apache Iceberg, as well as orchestration frameworks including Apache Airflow and Databricks Workflows. He is also experienced in BI and visualization tools such as Power BI and Tableau, enabling him to bridge technical solutions with business insights. With a strong foundation in programming (Python, Scala, SQL, PySpark, Bash), Devath specializes in building efficient, cost‑effective, and innovative data solutions that empower organizations to make faster, data‑driven decisions.

Available to hire

Devath Bhandary is a driven Data Engineer with over 5 years of experience designing and optimizing data pipelines, automating processes, and delivering scalable solutions across retail and pharmaceutical industries. He began his career working with retail data at Levi Strauss & Co., before moving on to lead large‑scale data engineering projects for clients such as Johnson & Johnson, Pfizer, and Amgen.

Proficient in Big Data technologies (Spark, Hadoop, Kafka) and skilled across cloud platforms (AWS, GCP, Azure), Devath has hands‑on expertise in data warehousing tools like Snowflake, Delta Lake, and Apache Iceberg, as well as orchestration frameworks including Apache Airflow and Databricks Workflows. He is also experienced in BI and visualization tools such as Power BI and Tableau, enabling him to bridge technical solutions with business insights.

With a strong foundation in programming (Python, Scala, SQL, PySpark, Bash), Devath specializes in building efficient, cost‑effective, and innovative data solutions that empower organizations to make faster, data‑driven decisions.

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