Muralidhar Adapala
Director Data Platform Engineering
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About
Strategic Data & AI Leader with 28+ years of success in building and scaling enterprise Big
Data, Cloud, and AI/ML platforms across FinTech, Telecom, Banking, Life Sciences, and
Media. Proven track record of delivering £10M+ transformation programs, leading global teams (70+ staff), and aligning data strategy with organizational goals. Expertise in
Microsoft Fabric, Databricks, Azure, AWS, AI/ML, and Data Governance. Adept at bridging technology and business needs to drive innovation, efficiency, and competitive advantage.
Experience
Strategic Data & AI Leader with 28+ years of success in building and scaling enterprise Big
Data, Cloud, and AI/ML platforms across FinTech, Telecom, Banking, Life Sciences, and
Media. Proven track record of delivering £10M+ transformation programs, leading global teams (70+ staff), and aligning data strategy with organizational goals. Expertise in
Microsoft Fabric, Databricks, Azure, AWS, AI/ML, and Data Governance. Adept at bridging technology and business needs to drive innovation, efficiency, and competitive advantage.
Core Competencies & Technologies
Leadership & Strategy: Data Strategy, Enterprise Architecture, Data Governance, Pre-Sales,
Program Delivery (£10M+), CxO Engagement
AI & Analytics: OpenAI, LLMs, ML/AI, NLP , Spark MLlib, Predictive Analytics, Real-Time
Insights
Platforms & Cloud: Microsoft Fabric, Databricks, Snowflake, Cloudera, Hortonworks, IBM
BigInsights, Azure (Purview, Synapse, Data Lake, Data Factory), AWS (Redshift, EMR, S3,
Airflow), FiveTran, DBT .
Big Data & Engineering: Spark, PySpark, Kafka, Hive LLAP , Nifi, Streamsets, Scala, Python
Governance & Tools: Apache Atlas, Purview, Solidatus, Power BI, OBIEE, Informatica.
Data Modelling Tools: EA Sparx, ERWin and ERStudio.
Databases: Oracle, SQL Server, MySQL, PostgreSQL, Informix, Sybase
