Akash Mehta

About Akash Mehta

About Myself: I am a hard-working, result-oriented, technology-driven leader, and associated with data engineering, analytics, and machine learning with a background in software development. I have 13+ years of work experience solving challenging problems, architecting and managing highly available and scalable applications at companies - Capital One, Citibank, Verizon, JPMorgan Chase & Co, Nasdaq. I am decisive, people-oriented, and strategic and committed to building highly productive teams. I also hold the AWS Certified Solutions Architect - Associate credential.My Top Libraries (Actively Downloaded):#1. Change Data Capture in Pyspark/Hive: https://github.com/akashmehta10/cdc_pyspark_hive#2. Data Profiling and Data Quality in PySpark: https://github.com/akashmehta10/profiling_pyspark#3. Encrypting Data/Files with Spark — Big Data: https://github.com/akashmehta10/encryption_pyspark#4. Random/Beautiful Image Generator in JAVA: https://github.com/akashmehta10/image-beautifyMy Medium Stories: https://medium.com/@akashmehta10My Github: https://github.com/akashmehta10My Interests/Skills:Big Data: Spark, Spark Streaming, Kafka, Hive, Hadoop, Sqoop, Oozie, Cassandra, Elasticsearch, RedisCloud Technologies: Snowflake, AWS, EKS, S3, Docker, OpenShift, Kubernetes, MesosWeb: JAVA Spring Boot, HTML, REST, jQuery, AJAX, Javascript, Angular, BootstrapProgramming Languages: JAVA, Python, Shell, SQL, RMisc. Tools/Tech: Mesos, Maven, Jmeter, SwiftMq, IntelliJ, PyCharm, Apache Server, MySQL, Bitbucket, GIT, WiresharkMachine Learning/Statistics

Experience

1. Senior Manager, Data Engineering

   Capital One

   Mar 2025 — Present · Plano, TX, US

   Overall Data Lead managing data engineering and analytics teams to support account servicing in Financial Services (Auto Finance), with a focus on Loss Mitigation during early stages of delinquency- Designed and built scalable data pipelines and operational reporting solutions to support agent operations, enforce compliance through process controls, and drive strategic product improvements using Snowflake, SQL, Python, and Airflow- Led the development of an AI-based application to identify semantic similarities across disparate data transformation logic files, enabling semantic search for metrics and reducing duplication within Capital One’s Loss Mitigation division. Tools used: Python, LLaMA, Gradio, SQL- Architected and implemented a solution within Capital One\'s Financial Services (Auto Finance) and Loss Mitigation to accurately predict call reasons based on web/mobile interaction activity, leveraging Snowflake, SQL, Python, and Google Gemini

Education

• The University of Texas at Dallas

  Master of Science (MS), Computer Science

  2013 — 2015

Skills

• Java
• Sql
• Docker
• Containerization
• Marathon
• Eclipse
• Cassandra
• Mysql Cluster
• Mysql
• Big Data
• Angularjs
• Javascript
• Jquery
• Jsp
• Asp.net Mvc
• Asp.net
• .net
• C#
• Rest
• Linux
• Shell Scripting
• Servlets
• Ajax
• Machine Learning
• Linq
• Hadoop
• Entity Framework
• Json
• Wcf Services
• Soap
• Object Oriented Design
• Visual Studio
• R
• Mapreduce
• Selenium
• Sharepoint
• Nunit
• Relational Databases
• Soapui
• Normalization