Akash Mhaske Email and Phone Number

1) Collaborated with cross-functional teams to design and implement stage-to-target mappings, resulting in improved data integration processes and enhanced data quality.2) Created and managed base layer tables using SQL in Databricks and Snowflake, ensuring efficient data storage, retrieval, and processing.3) Leveraged analytical knowledge and patient-level data insights to identify trends, patterns, and opportunities for process optimization and cost reduction.4) Actively participated in agile project management methodologies, ensuring timely project delivery and meeting client expectations.5) Stayed abreast of industry trends and emerging technologies, actively contributing to the adoption of CDL, ML, and Al concepts within the organization.

•Managing and scheduling Jobs on a Hadoop cluster.•Involved in loading data from RDBMS to HDFS using Sqoop.•Writing Spark RDD transformations and actions for the required input data set and performed the data transformations using Spark Core.•Explored with the Spark improving the performance and optimization of the existing algorithm using.•Spark Context, Spark SQL and data Frames.•Creating Hive tables, loading data and implemented•Partitions and Bucketing for optimization and working on them using Hive QL.•Worked on regularly tuning performance of hive queries to improve data processing. Written Hive aueries for data analvsis to meet the business requirements.