Kiran Shrestha

About Kiran Shrestha

As a Data Engineer at JPMorgan Chase, I develop and optimize scalable data warehousing solutions, enhancing data-driven decision-making. I collaborate with cross-functional teams to design and implement efficient data cubes, ETL pipelines, and data models, using tools such as Pandas, NumPy, Jupyter Notebook. I also integrate machine learning and deep learning models into data pipelines, ensuring data quality and integrity.With over 5 years of experience in data engineering, I have worked with diverse databases, big data technologies, and cloud platforms. I have successfully delivered solutions for real-time data processing and analysis, using technologies such as Spark, Hive, Kafka, and AWS. I have a proven track record in transforming complex business requirements into effective data engineering strategies, driving actionable insights and tailored solutions. I am passionate about innovation in data processing and analytics, and I seek to contribute to the advancement of data-driven strategies and solutions.

Experience

1. Senior Data Engineer

   Microsoft

   Mar 2023 — Present · TX, US

   Designed and implemented Lakehouse solutions on Azure Databricks with Delta Lake, improving governance and accelerating analytics by 40%.Built scalable ETL/ELT frameworks using Ab Initio, PySpark, and ADF, increasing efficiency by 35%.Developed real-time streaming pipelines with Event Hubs, Kafka, and Spark Structured Streaming, reducing incident response time by 50%.Automated workflows with Airflow and ADF, ensuring SLA-driven delivery for enterprise analytics.Optimized multi-cloud warehouses (Synapse, Redshift, BigQuery), cutting manual reporting effort by 60%.Delivered Power BI/Tableau dashboards enabling leadership to monitor KPIs and operational health.

Education

• Navarro College

  Associate of Science - AS

• Texas A&M University-Commerce

  Bachelors of Science