Sriram Hota

Data Platform hardening and modernization on cloud/AWS native Services to support operational financial data system of peta byte scale.

• Building server less and intelligent data processing & ML platform.
• Defined and instituted platform architecture and data engineering practices.
• Driving distributed &business integrated data security product, Saved 0.5 m$ by rolling out in-house data security and governance system and replacing vendor product in 2020
• Working towards lowering TCO to the tune of 5 m$ . Migrating from mpp to spark, traditional to open source & distributed architecture based etls & pipe lines . 2021/22
• Site leadership for Ge-FDL

Setting up data capabilities , strategy and related functions.

• Driving data architecture & setting up the platform
• Formulated data sourcing strategy with business verticals and different engineering leaders

• Solving seed to field , field to warehouse, warehouse to store, store to consumers problems through technology

Setting up teams and data functions from the scratch for transformation success , setting up global data strategy. Driving data democracy, building data platform on cloud/Azure , DevOps as a service , DaaS, IaaS.

• Building cloud/azure based e2e DevOps integrated data platform to enable all business aligned engineering functions along with the data foundation.
• Ensuring best and relevant engineering hygiene to support agility of the engineering organizations.
• Course correcting the legacy platforms.
• Aligning engineering and product leaders with Agile philosophy and engineering best practices.
• Managing engagements with various engineering leaders and business stake holders as a consumer of the platform.
• Solving multi m$ business problems through data and predictions/recommendation.
• Business, people, Customer experience & Data platform transformation.

low latency data, data at scale, multi tenant processing , reconciliation and publishing systems. spark, kafka , olap

• horizontally scale-able OLAP open sourced based solution.
• Scale out the data processing layer.
• Segregating and building low latency streaming and reconciled data pipelines.
• Scalable data publishing system.
• Adding anomaly detection and alerting to the platform.
• Engaged to create product features funnel, scrum model refinement and establish visible and transparent executions.
• Establishing and enriching process around production operation,escalations, site reliability , security, capacity addition,on-boarding , L3 engagement.

MDM, BI on mobile, self serve reporting, cohort , segmentation, audience engagement & retention metrics, Hadoop, pig, shark, Oracle,java, Microstrategy, architecture for scale.

• Building of self-serving reporting and visualizations on usage pattern, audience engagement, and retention behavior analytics for all Yahoo web sites on mobile devices.
• Building of engagement data and segmentation and cohort metrics for Yahoo’s broadband Partners.
• Leading architecture and moving some key products on to hadoop infrastructure.
• Offering business intelligence on mobile device.
• Experimentation, A/B analytics to put data science into hypothesis of a user experience design.
• Transitioning and tuning Media properties data system, click-stream analysis for engagement insight and content consumption pattern.
• Integration of Desktop and Mobile data on audience/user side.
• Driven continuous delivery/Integration adoption initiatives.

• Data engineering/BI/Teradata/Architecture/Analytics/trickle, queuing system/data mining/Microstrategy/java
• Teradata,FLOAD , BTEQ, MLOAD, JMS,ETL

Data architecture and engineering, etl, Teradata, Requirement analysis, Game analytics, player value management , predictive analytics.

Data engineering, Teradata, Microstrategy.

java, jsp, struts, mvc, servlet, xml processing, caching framework, microstrategy

Java, Applet, JSP, Servlet, Tomcat,Oracle