Jaswanth Kongara

About Jaswanth Kongara

As a Data Engineer with around 6 years of industry experience in the field of Big Data and Statistical modeling, I am known for designing and implementing ETL pipelines to extract, transform, and load large volumes of data. My skills in data modeling, database design, and data warehousing have allowed me to successfully build scalable data solutions for various organizations. Advanced my knowledge with an M.S in Data Science & Analytics with a focus on the intersection of Data Engineering, Analytics and Machine Learning. My passion for utilizing the latest technologies to solve complex problems has led me to explore the world of machine learning, where I aim to leverage my skills to develop intelligent systems that drive business growth. With a strong analytical mindset, attention to detail, and a commitment to delivering high-quality results, I am confident in my ability to contribute to any team and project. Skills: • Programming Languages: Python, Scala, Java • Databases/ Warehouses: PostgreSQL, MongoDB, Clickhouse, Redshift, TeraData, Oracle, Synapse, BigQuery • Cloud Platforms: AWS, Azure, GCP, Databricks • Message Systems: Kafka, RabbitMQ • Visualization: Power BI, Tableau, Superset, Looker, Graphana • DevOps: Docker, Kubernetes,Terraform, GitHub, GitLab • IDE Tools: Eclipse, PyCharm, Jupyter, PowerBI • Microsoft Azure Cloud: Azure Databricks, Azure data factory, Azure Synapse analytics/SQL, Logic apps, Azure Data Lake, Azure Analysis services, Azure Key Vault services • AWS: EC2, Amazon S3, ECS, Amazon RDS, VPC, IAM, Amazon Elastic Load Balancing, CloudFront, Auto Scaling, CloudWatch

Experience

1. Data Engineer

   Emprise Bank

   Jan 2023 — Present · Wichita, KS, US

   Skilled in writing and executing MYSQL database queries from Python; proficient in managing configurations in MongoDB using PyMongo.• Developed and optimized data pipelines using Azure Databricks, skilled in Python, Scala, and SQL for data transformation.• Implemented Synapse Integration with Azure Databricks notebooks, significantly improving development efficiency and performance.• Comprehensive project lifecycle experience, from design to support, with expertise in Kafka messaging and cluster management.• Experienced in Kubernetes and Docker for Microservices deployment, and in implementing GIT flow on Bitbucket for version control.• Provided technical consultancy to leadership, focusing on Big Data solutions and resolving complex technical challenges.• Managed and optimized Spark Databricks clusters, proficient in using Spark Data Frame API for data manipulation.• Handled loading and analysis of diverse data sets, including Hive queries processing and Hadoop MapReduce, with expertise in Azure Data Factory for database migration.• Developed application functionalities with Navigation rules and controller annotations.• Expert in integrating RESTful web services and Kubernetes with AWS EKS and GCP GKE for enhanced cloud capabilities.• Enhanced system functionality using Python XML SOAP for account and trade management.• Created and managed DataStage and ETL jobs, utilizing Zookeeper for cluster coordination post-migration from JMS Solace to Kinesis.• Developed Pyspark and Spark SQL notebooks in Databricks for business-driven data analysis and transformation, including AWS Glue jobs for data processing in Amazon Elasticsearch.

Education

• Wichita State University

  Masters Degree