Prakash K.

A Data Science Professional and PySpark Developer with 3+ years of experience helping enterprises and clients around the world to solve big data problems with the right data platform strategy, data analytics, machine learning, artificial intelligence, and cloud-native PaaS (Platform as a Service). My domain expertise lies in Insurance, Manufacturing, E-Commerce & Healthcare domains. I can guarantee the accuracy and quality of my work so the employer will be 100% satisfied. My services include: • Data Engineering, Big Data Pipelining, Data Lake, ETL Orchestration • End-to-end data migration from on-premises to cloud infrastructure • ETL Jobs in Spark Using Data Frames in PySpark • Data cleaning and transformation with Spark and Python (NumPy, Pandas) • Optimization and improvement on existing PySpark code • Modification to existing ETL Job • Cloud service: AWS Services, Data bricks and much more on demand. My expertise on the following Tools/Technologies: • Apache Spark (PySpark) • Python3, NumPy, Pandas, unit test script, Parsing and mapping of XML, COBOL • AWS Cloud Services: Glue, Lambda, Step Function, EC2, ECS, S3, DynamoDB, IAM, Kafka, Firehose, SNS, SES, SQS, Cloud Formation, KMS, CloudWatch etc.) • CI / CD Pipelines • SQL / MySQL • Git, GitHub, Bitbucket • IBM DB2 • MS Excel, MS Office • PyCharm, VS Code, Databricks, Jupyter Notebook • OS: Linux (Ubuntu, CentOS), Windows