Jisha John

Background

About Jisha John

Extensive experience in developing cloud adoption strategies and executing migrations from legacy platforms to cloud native architecture resulting in significant increases in performance, scalability and cost reduction.@Build data architectures for high-volume processing in real-time streaming and batch pipelines with a focus on fault tolerance, scalability and performance using Azure, Databricks, Spark, Python, SQL, Synapse, Redshift, Airflow, Snowflake, MS Fabric and Dbt.@Expertise transforming structured, semi-structured and unstructured data across batch and streaming in monolith, microservices, medallion, data mesh type of architectures @End-to-end design and implementation experience in data warehousing, business intelligence, analytics and visualization across both cloud and on prem environments.@Expertise in big data ecosystem to process and run analytics using Hadoop, HDFS, Hive, Trino(Presto), Spark,Sqoop for large scale data processing and analytics.@Strong background in implementing enterprise-wide unified federated data governance solutions as well as Master data management solutions.Proficiency with processes and tools like Unity Catalog,Collibra, Infomatica IDMC, Purview and Atlan.@Automate business processes, tune queries and databases and build dashboards leading to improved efficiency and stakeholder value creation.@Effective communicator, adept at collaborating across teams to develop product roadmaps that align business and IT goals.@Hire and mentor high performing engineering teams