Raj Allam

Raj Allam Email and Phone Number

BIG Data Architect at Deloitte @ Deloitte
new york, new york, united states
Raj Allam's Location
Washington DC-Baltimore Area, United States
About Raj Allam

Rajasekhar R Allam is a true visionary in technology and application providing scalable solutions to business initiatives with vast knowledge of cutting-edge technologies to streamline the information technology problems. Over 18 years experience Raj has fully involved AWS (Cloud Solutions), BIG DATA solutions and Data warehousing including ETL, ELT, EAI, CDC and EII patterns right from analysis, architect, design, implementation, migration, support & maintenance of data management systems. Progressive experience and continued success as Architect/Lead/Developer with technical expertise especially in the areas of Cloud computing, Hadoop ecosystems and data warehousing paradigms. Raj has involved in Cloud dynamics using several Confluent Kafka, Databricks, AWS services VPC, EMR, EC2, Redshift, S3, Aurora, Athena, Kinesis, Hive & Glue Meta store, Data pipeline, Lambda, RDS, SQS, SNS servicesLead multiple projects over big data platform through Map Reduce and Spark processing models to achieve batch & iterative solutions, also gained experience on data integration, master data management, metadata management, data virtualization, data federation, reference data, data delivery models and taxonomy semantic capabilities. Proficiency MapReduce, TEZ, Spark, Presto, Athena, Impala, Redshift and Redshift spectrum engines for analytics. Raj has AWS platform experience such as EMR spin ups, performance tuning, boot-strap scripts, test automation (2-sets & 10-sets) process, data encryption, data compression, storage formats. AWS platform experience on EMR spin ups, performance tuning, boot-strap scripts, test automation (2-sets & 10-sets), data processing S3, intermediate hops on HDFS, data encryption, data compression, storage formats. Hands-on experience Department of Defense(DoD) legacy personal & pay data systems; ~70 DoD systems exposureSelf-motivated: can be handled multiple projects while paying attention to details; accomplished problem solving and analytical skills.Work Authorization: US CitizenClearance: Secret

Raj Allam's Current Company Details
Deloitte

Deloitte

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BIG Data Architect at Deloitte
new york, new york, united states
Website:
deloitte.com
Employees:
295722
Raj Allam Work Experience Details
  • Deloitte
    Sr. Data Architect
    Deloitte Oct 2023 - Present
    Crystal City, Virginia, United States
    IPPS-A (Integrated Personal & Pay System - Army): The Army currently relies on more than 60 separate legacy information systems to provide personnel & pay management for all Army components (Active, Guard, and Reserve). These systems were designed at different times, reside on different hardware platforms, and to consolidate the Army is developing and implementing the Integrated Personnel and Pay System – Army (IPPS-A), a Web-based tool accessible to Soldiers, HR professionals, Combatant Commanders, and other authorized users throughout the Army.Responsibilities: • Highly involved IPPS-A strategic decisions and timely offered inputs on various data management paradigms Metadata, Master data, Data Quality, Data Archiving, Data Security and Business Intelligence platforms.• Architect epic level design patterns for Program protection Implementation Plan (PPIP), Data Conversion & Interface Plan (DCIP), Business Intelligence and Data Analytics Plan (BIDA), Data Quality Analysis Report (DQAR), Service Oriented Architecture & Enterprise Service Bus (SOA-ESB) and Out Bound DD(Topics) shipping data to partner systems. • Reviewed CDRL's, DD's, comment sheets with various parties Army, System Integrator(SI), PMO and Government over DCIP, BIDA, DQAR, SOA-ESB, Out Bound DD's and emphasized importance of data quality framework, Error Resolution Automation process and Audit & Traceability for IPPS-A program. • Build DODAF Models [OV1 - OV6c, SV1 - SV10c], Data Models [ELDM & Epic models], SOA Models [Topics & Web Services], Taxonomies, Enterprise data dictionary, DIV2(logical construct) to DIV3(physical construct) logistics and DD's connecting dots across IPPS-A place holders such as Inbound Interfaces, PeopleSoft HCM and Outbound partner systems. • Appraised Outbound DD delivery patterns Topics, Web services and P2P outbound interfaces, offered recommendations and comprehensive data flows from external seeding systems to subsequent HCM data hops and IPPS-A resting systems.
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  • Ecs Federal
    Sr. Data Architect
    Ecs Federal Jul 2019 - Nov 2023
    Crystal City, Va
    IPPS-A (Integrated Personal & Pay System - Army): The Army currently relies on more than 60 separate legacy information systems to provide personnel & pay management for all Army components (Active, Guard, and Reserve). These systems were designed at different times, reside on different hardware platforms, and to consolidate the Army is developing and implementing the Integrated Personnel and Pay System – Army (IPPS-A), a Web-based tool accessible to Soldiers, HR professionals, Combatant Commanders, and other authorized users throughout the Army.Responsibilities: • Highly involved IPPS-A strategic decisions and timely offered inputs on various data management paradigms Metadata, Master data, Data Quality, Data Archiving, Data Security and Business Intelligence platforms.• Architect epic level design patterns for Program protection Implementation Plan (PPIP), Data Conversion & Interface Plan (DCIP), Business Intelligence and Data Analytics Plan (BIDA), Data Quality Analysis Report (DQAR), Service Oriented Architecture & Enterprise Service Bus (SOA-ESB) and Out Bound DD(Topics) shipping data to partner systems. • Reviewed CDRL's, DD's, comment sheets with various parties Army, System Integrator(SI), PMO and Government over DCIP, BIDA, DQAR, SOA-ESB, Out Bound DD's and emphasized importance of data quality framework, Error Resolution Automation process and Audit & Traceability for IPPS-A program. • Build DODAF Models [OV1 - OV6c, SV1 - SV10c], Data Models [ELDM & Epic models], SOA Models [Topics & Web Services], Taxonomies, Enterprise data dictionary, DIV2(logical construct) to DIV3(physical construct) logistics and DD's connecting dots across IPPS-A place holders such as Inbound Interfaces, PeopleSoft HCM and Outbound partner systems. • Appraised Outbound DD delivery patterns Topics, Web services and P2P outbound interfaces, offered recommendations and comprehensive data flows from external seeding systems to subsequent HCM data hops and IPPS-A resting systems.
  • Caci International Inc
    Big Data Architect
    Caci International Inc Mar 2014 - Jul 2019
    Chantilly, Va
    • Owned 12 data delivery streams under MIDAS program• Align the solution architecture and design with our overall technology strategy with project road map.• As a member of tiger team, engaged several cloud architectural initiates right from setting up VPC backbone, three tier architecture cloud initiative, EMR transient clusters, data migrations, redesigned applications to cloud standards, applications inventory over cloud, processing models against S3, HDFS and Redshift data storages.• Re-designed applications stack to support AWS EMR transient nature & Idempotency.• Architect several applications on spark platforms as part of iterative process model initiative, helps to performance over real time & near real-time scenarios• Involved fine tuning long running M/R, Hive hqls, PIG scripts, Spark jobs, scaling cluster resources horizontal and vertical on need basis.• Architect analytical capabilities over Cognos, Tableau and SAS tools based on data temperatures like COLD data using Redshift spectrum and HOT data over native redshift capabilities.• Build centralized log analytics platform using Splunk for understanding data/process behavior patterns of MIDAS applications and ingesting real-time logs producing insights in the form of metrics, dashboards, alerts and visualizations.• Hands-on EMR spin ups, performance tuning, boot-strap scripts, test automation (2-sets & 10-sets), data processing – read & write on S3 and intermediate hops on HDFS, data encryption, data compression techniques, storage formats to smooth sail end-to-end data flows• Configured S3 buckets with various life cycle policies to archive the infrequently accessed data to storage classes based on requirements.• Taking MIDAS cloud initiative to NeXT generation by prototyping LOG Analytics using Elastic search & Kibana combination, Server less architecture following the footsteps of Lambda, Kinesis, Glue & Athena combi, kubernetizing spark ETL loads
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  • Pfizer
    Information Architect
    Pfizer Aug 2006 - Mar 2014
    • RWA (Real world analytics): Involved building analytics platform for RWA EMR (Electronic medical records), Claims, Survey databases Humedica, Optum, Med stat, GE centric, THIN, Kantar, Thomson & Routers for conducting BI experiments. • Common data model (CDM): Defined Abstract (Pfizer RWA definition), RWA databases insights, high level requirements, data model assessments, vendor model assessments, proposed architecture, common data model report includes near term and long-term strategies.• Data catalog: Data catalog a metadata repository which holds information of Pfizer R&D data sources and used to identify and discover "data about data". The data catalog currently has information about the top Research and Development assets such as Applications, Databases, Data entities, Business processes, Data Flows, Database structure (tables, views, etc), Informatica Metadata (mappings, source and targets, sessions, etc), Literature References, Glossaries etc• RDM (Reference data management): Designed Pfizer master clinical entities to build single version of truth organizing source identification, collection, transformation, rule administration, error detection and correction, consolidation and data storage class acts.
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  • Ibm
    On-Site Lead
    Ibm Aug 2001 - Aug 2006
    London, United Kingdom / Valleyforge Pa Usa
    • Worked as on-site team leading 27 off-shore team players to support three warehouse systems Legacy warehouse (support, retiring application), profit system (finance system) and new build enterprise warehouse to replace legacy in AmeriSourceBergen Enterprise Business Intelligence.• Involved in designing high-level & detail design deliverables.• Involved in finalizing business requirements by closely working with business stake holder teams.• Involved source data profiling to understand source systems data structures, relationships, data gaps, data quality measurement etc• Worked as On-site lead with 15 member off-shore team to build and support British Petroleum warehouse to load on-going data for almost 37 countries around world.• Involved in the design, development and implementation of the Enterprise Data Warehousing (EDW) process and Data Mart.
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Raj Allam Education Details

Frequently Asked Questions about Raj Allam

What company does Raj Allam work for?

Raj Allam works for Deloitte

What is Raj Allam's role at the current company?

Raj Allam's current role is BIG Data Architect at Deloitte.

What schools did Raj Allam attend?

Raj Allam attended Bangalore University.

Who are Raj Allam's colleagues?

Raj Allam's colleagues are Ganesh Krishnan, Rajendran A., Marthe Aleksandersen, Feyruz Kamilov, Barnalin Das, Abby Eppinette, Sarthak Gupta.

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