Hari Rajaram Email & Phone Number

San Jose, California, Us

Architecting and leading the development of cutting-edge cloud solutions, driving innovation in next-generation Calix platforms

Pioneering Gen AI-driven due diligence software for solar developers, enabling proactive risk mitigation and strategic project planning from inception to execution.

 Advisory services for multiple Fortune 500 companies on Enterprise, Data, and Cloud architecture impact ~35% of revenue to the Corporation designing a complex data pipeline and an AI/ML/DL consultation for a leading federal vendor. Driving cloud and data architectural solutions at FINRA. Built and architected a data product with data and ML pipelines with microservices on K8's for a big media company.  Designed the privacy compliance (GDPR) techniques for the data product. Consultation for a leading media company on an ML management system with data ingestion and analytics with cutting-edge technologies. Collaborated with teams of 200+, managing projects requiring talents of Analysts, Directors, Data and DevOps Engineers, Data Scientists, Full Stack, and UI developers to meet the stipulated budgets of up to $10M and timelines.  Worked closely with teams budgeting for resources, optimal usage, and infrastructure allocation. Established strategic technical partnerships with multiple vendors ensuring and integrating the best solutions.  Instrumental in bringing the right bleeding edge open source technologies to our customers executing time-series analytics and forecasting on a large volume of data, petabytes of data.

Carpinteria, Ca, Us

 Driving Data as a product initiative for construction Data. Leading and building Data and AI (including Gen AI) solutions at Procore.

Seattle, Wa, Us

 Providing data analytics solutions to strategic and enterprise customers across the globe through the Customer Advisory team. Streaming (Kinesis, MSK) SME, worked closely with services and engineering team for the product roadmap. Apache Flink expert, actively participated in customer calls to advise on the complex streaming processing using Kinesis Data Analytics for Apache Flink.  Reference architecture solutions to several customers to build the next-gen data pipeline. Driving the roadmap for Alexa Privacy engineering to offer privacy solutions for customers and builders. Instrumental in identifying new techniques in privacy, e.g., DifferenFal privacy, De-identification, Anonymization for cross-functional activities across Alexa builders. Collaborated with the science and engineering teams for Privacy and compliance techniques (GDPR) with Alexa data. Partnered with disparate Amazon teams to set a high Privacy bar for Alexa.

Tysons, Va, Us

 Key senior leadership collaborator formulating vision and strategic direction, using competitive landscape, for Product Development and Engineering. Aligned standards, frameworks, and security with overall strategy including reliability, performance, maintainability, scalability, security and usability. Originated and built new development organization, located in 4 countries, of over 25 people from the ground up servicing existing customers, partner channel needs and expanding commercial business on established production timelines and budgets.  Established best practices using DevSecOps patterns, as an integral part of the CI/CD process. Designed and implemented DevSecOps in native Cloud environment enabling policy-based controls and compliance using Twistlock and Aquasec.  Coined the term security mesh for L3-L7 security, presented at Spark Live and Spark AI in 2019 .  Incorporated flexibility and creativity in solution design using emerging technologies such as Big Data Analytics.

Ashburn, Va, Us

 Oversaw and architected big data projects providing solutions using and evangelizing on data analytics frameworks in various cloud environments with big data streaming technologies.  Established partnerships with providers including Cloudera, Databricks, Data Artisans, Hortonworks, Splunk. Directed a team of 18+ developers responsible for designing, developing and executing Web Analytics and Machine Learning, real-time prediction and monitoring of ETL tools with a hiring, performance, coaching, mentoring and training.

 AI / Sensor-based startup for providing health scores for physically challenged users. Real-time feed to the users to track their activity.

New York, Ny, Us

 Played a pivotal role, in data platform team of 20, creating open source framework using big data frameworks. Instrumental in building the data pipeline building the data lake using open source including Kafka, Spark, Presto, Airflow, Airpal, Hive, HBase and Redshift. Designed pipeline process in AWS, Quoble to scale the EMR clusters. Implemented data and process governance, for auditing, using tools such as Atlas, Falcon, Ranger along the data pipeline with custom UDF’s both in Hive and Spark for processing the data efficiently. AWS data pipeline architecture using RedShift to satisfy the daily needs of BI without compromising the data science needs of forecast and analytics.  Oversaw the integration of Presto to query Amazon S3-data storage.

Reston, Va, Us

 Architected a portfolio of different deployment solutions, to various ZoomData customers in the spectrum ofbig data, leveraging AWS and other cloud platforms for customer deployments. Implemented Micro services using Docker, Mesos, Consul, Marathon for a network customer.Identified and created joint venture providing a solution that can be brought to product. Innovated and executed generic calculator module using Clojure, Scala, Apache Spark, Janino, Antllr for theRealtime Analytics BI product as well as using technologies like thrift protocol to be language and platformagnostic. Recognized Spark SME as a result of deploying Spark on 2 state schedulers such as Mesos, drive the strategyand providing trusted and quick customer responsiveness of ZoomData on Spark clusters.

Washington, Dc, Us

 Oversaw all start-up projects, collaborated with offshore and onsite team designing and executing architecture,design, development of various websites including Refer Along, StrollAround.com and WeCasa.com. Created and introduced innovative techniques Big Data Analytics and processing using Spark, unique replicastrategy for Refer Along by defining Hadoop EMR cluster, built elastic search cluster for Refer Along websitealong with MongoDB. Built AWS architecture using AWS Kinesis, SQS, Elasticache and MongoDB. Defined a cloud formationtemplate for each component. Designed and architected the user personalization engine and recommendation system.

Rockville, Md, Us

Project : GrantSolutions.gov

Mclean, Va, Us