Puskal Pant
Advanced Data Engineer | AWS | Azure | Snowflake | Python | PySpark | SQL | HDFS | Hive | BigData
- Role
- Advanced Data Engineer at Honeywell Technologies
- Location
- Charlotte, NC, US
- LinkedIn followers
- 500 followers
About Puskal Pant
Seasoned Data Engineer proficient in leading complex data migration projects and optimizing end-to-end data processing pipelines in cloud-based environments, particularly within AWS and Azure frameworks. Skilled in designing, developing, and optimizing data solutions using a range of technologies such as S3, Glue, Lambda, PySpark, Spark SQL, and Python. Specializing in leveraging advanced tools like Apache Airflow for orchestrating complex data workflows and ensuring timely and accurate data processing. Skilled at implementing version control with Git, establishing CI/CD pipelines using Jenkins, and optimizing Hadoop cluster configurations. Proficient in real-time data streaming solutions using Apache Kafka and Spark Streaming, with a focus on enhancing efficiency and scalability. Collaborative team player with strong communication skills, able to effectively collaborate with cross-functional teams and stakeholders to drive business insights and decision-making. Committed to continuous improvement and staying abreast of the latest technological advancements in the field.
Experience
Advanced Data Engineer
Nov 2025 — Present · Charlotte, NC, US
Promoted to Aerospace division; spearheaded expansion of $540M opportunity-capture pipeline into a new ITAR-regulated business unit with projected addressable opportunity of $740M.• Architected high-volume streaming pipelines using Azure Event Hubs and PySpark/Scala on Azure Databricks, enabling reliable real-time ingestion and transformation of sensitive aerospace and defense telemetry data.• Applied CDC-based ELT workflows and medallion architecture (Bronze/Silver/Gold) on Delta Lake to build scalable, schema-evolution-ready data models powering AI/ML products for defense operations.• Collaborated with data scientists and ML engineers to build data-ready pipelines for AI/ML model training and inferencing on aerospace sensor and telemetry datasets.• Provided technical mentorship to junior Data Engineers and supported Data Analysts and Business Analysts in understanding data models, pipeline outputs, and aerospace data product capabilities.Technologies: Azure Databricks, Azure Event Hubs, PySpark, Scala, Delta Lake, Medallion Architecture, CDC/ELT, Snowflake, ITAR Compliance
Education
St. Cloud State University
Bachelor's degree, Computer and Information Systems Security/Information Assurance
2015 — 2019
Skills
- Customer Service
- C#
- Html
- Public Speaking
- Creative Problem Solving
- Java
- Management
- Research
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