Chandresh Desai

Co-Founder

Washington, DC, United States10 yrs 4 mos experience
AI ML PractitionerAI Enabled

Key Highlights

  • Expert in cloud architecture and data solutions.
  • Proven track record in AI and data engineering.
  • Strong leadership in cross-functional team collaborations.
Stackforce AI infers this person is a Cloud Solutions Architect with expertise in Data Engineering and AI implementations.

Contact

Skills

Core Skills

Cloud ArchitectureData Solutions ArchitectureSolution ArchitectureData SolutionsCloud Solutions ArchitectureData EngineeringData ArchitectureBusiness IntelligenceDatabase Management

Other Skills

AWS Well-Architected FrameworkRetrieval-Augmented Generation (RAG)AI InfrastructureTerraformCost ManagementOpenSearchVector DatabasesSQL DevelopmentCloud InfrastructureKnowledge GraphRole-Based Access Control (RBAC)AWS ArchitectureCloud MigrationDevOpsHadoop

About

๐ƒ๐š๐ญ๐š ๐’๐จ๐ฅ๐ฎ๐ญ๐ข๐จ๐ง๐ฌ ๐€๐ซ๐œ๐ก๐ข๐ญ๐ž๐œ๐ญ | ๐ƒ๐š๐ญ๐š & ๐€๐ˆ ๐‚๐จ๐ง๐ฌ๐ฎ๐ฅ๐ญ๐š๐ง๐ญ | ๐’๐ž๐ง๐ข๐จ๐ซ ๐ƒ๐š๐ญ๐š ๐„๐ง๐ ๐ข๐ง๐ž๐ž๐ซ | ๐‚๐ฅ๐จ๐ฎ๐ ๐’๐จ๐ฅ๐ฎ๐ญ๐ข๐จ๐ง๐ฌ ๐€๐ซ๐œ๐ก๐ข๐ญ๐ž๐œ๐ญ | ๐Ÿ๐Ÿ–+ ๐˜๐ž๐š๐ซ๐ฌ ๐จ๐Ÿ ๐„๐ฑ๐ฉ๐ž๐ซ๐ข๐ž๐ง๐œ๐ž ๐Ÿ‘‰๐Ÿพ Experienced in leading architecture design and trade-off discussions across performance, scalability, cost, and reliability, and translating stakeholder requirements into secure, scalable technical solutions. ๐Ÿ‘‰๐Ÿพ Skilled in designing and deploying RAG and Knowledge Graph architectures with robust RBAC controls, embedding AI into CI/CD and DevSecOps pipelines, and delivering intelligent analytics platforms. ๐Ÿ‘‰๐Ÿพ Extensive hands-on experience with AWS services (Redshift, EMR, Glue, S3, Lambda, Lake Formation, ECS, EKS, Fargate, RDS), Databricks, and Snowflake, along with strong SQL Server expertise in T-SQL, indexing, SSIS, data migration, and performance tuning. ๐Ÿ‘‰๐Ÿพ Proven ability to design enterprise analytical models using star schemas, support high-volume backend operations, monitor and secure cloud infrastructure, and collaborate effectively with cross-functional teams to deliver successful cloud migration and deployment initiatives. โš™๏ธ ๐’๐ž๐ซ๐ฏ๐ข๐œ๐ž๐ฌ ๐ˆ ๐Ž๐Ÿ๐Ÿ๐ž๐ซ โœ… Cloud & Application Architecture (AWS & Azure) โœ… AWS Well-Architected Framework Review โœ… Data Solutions Architecture โœ… Agentic AI and RAG Implementation. โœ… Data Engineering Solutions โœ… Generative AI & RAG Pipeline Integration โœ… AI Infrastructure Setup (Bedrock, OpenAI, LangChain) ๐ŸŒ Industries Served Finance | Banking | Healthcare | Telecommunications | Cloud Consulting If you want to modernize your applications, strengthen your cloud security, reduce costs, and integrate AI seamlessly into your architecture, letโ€™s connect. ๐Ÿ“ฉ ๐ƒ๐Œ ๐ฆ๐ž ๐Ÿ๐จ๐ซ ๐š ๐œ๐จ๐ง๐Ÿ๐ข๐๐ž๐ง๐ญ๐ข๐š๐ฅ ๐๐ข๐ฌ๐œ๐ฎ๐ฌ๐ฌ๐ข๐จ๐ง โ€” ๐ˆ ๐ก๐ž๐ฅ๐ฉ ๐ž๐ง๐ญ๐ž๐ซ๐ฉ๐ซ๐ข๐ฌ๐ž๐ฌ ๐ญ๐ฎ๐ซ๐ง ๐œ๐ฅ๐จ๐ฎ๐ ๐œ๐จ๐ฆ๐ฉ๐ฅ๐ž๐ฑ๐ข๐ญ๐ฒ ๐ข๐ง๐ญ๐จ ๐œ๐ฅ๐š๐ซ๐ข๐ญ๐ฒ, ๐ž๐Ÿ๐Ÿ๐ข๐œ๐ข๐ž๐ง๐œ๐ฒ, ๐š๐ง๐ ๐ข๐ง๐ง๐จ๐ฏ๐š๐ญ๐ข๐จ๐ง.

Experience

Cloudairy

Founder

Jan 2024 โ€“ Present ยท 2 yrs 2 mos ยท Washington DC-Baltimore Area ยท Hybrid

  • Implemented AWS Well-Architected Framework Reviews to assess workloads and recommend performance, reliability, security, and cost improvements.
  • Implemented FinOps practicesโ€”driving cost visibility, forecasting, and budget accountability across departments.
  • Designed and implemented Retrieval-Augmented Generation (RAG) pipelines using OpenSearch and vector databases to enhance contextual search and enterprise data intelligence.
  • Integrated AWS Bedrock and Azure OpenAI for secure and scalable deployment of large language models (LLMs) within enterprise applications.
  • Architected AI-powered infrastructure advisory tools that generate automated architecture blueprints and Terraform templates.
  • Defined and implemented cloud-native application architecture for multi-tenant AI-driven platforms, emphasizing scalability, cost-efficiency, and low-latency performance.
  • Conducted AI infrastructure governance reviews, ensuring compliance, cost efficiency, and observability across AI workloads.
  • Collaborated with product and data teams to enable end-to-end automation of diagram generation, documentation, and workflow orchestration through AI services.
AWS Well-Architected FrameworkRetrieval-Augmented Generation (RAG)AI InfrastructureTerraformCloud ArchitectureData Solutions Architecture

The rock creek group

Senior Solutions Architect

Jul 2019 โ€“ Present ยท 6 yrs 8 mos ยท Washington DC-Baltimore Area ยท Hybrid

  • Lead architecture design and trade-off discussions across performance, scalability, cost, and
  • reliability
  • Experience leading requirements-gathering activities and translating stakeholder input into
  • technical specifications
  • Capability to architect, build, and deploy secure Retrieval-Augmented Generation (RAG) and
  • Knowledge Graph systems, implementing robust Role-Based Access Control (RBAC)
  • mechanisms to ensure data permissions are precisely scoped and access remains tightly
  • governed.
  • Embed AI into DevSecOps pipelines and CI/CD workflows for automation, code generation,
  • and analytics.
  • Strong background in SQL development, SQL tuning, and intelligent BI analytics tools
  • Familiarity with architectural frameworks and cloud foundations across multiple cloud
  • providers like AWS and Azure.
  • Experience with cloud-native data engineering and architecture, including services such as
  • Redshift, Azure synapse, PySpark, AWS Glue, S3, Kafka, Kinesis, EMR, Athena, Lambda, Lake
  • Formation, or Databricks/Snowflake.
  • Design and implement star schemas (Fact and Dimension tables) to support enterprise
  • analytical, BI tools like PowerBI, QuickSight, and reporting requirements with high
  • performance and query efficiency and familiar with multiple file format like Avro, Json,
  • Parquet.
  • Developed and optimized SQL stored procedures, functions, and queries to support highvolume backend operations.
  • Ensure success in building, migrating, and deploying applications, software and services on
  • the AWS platform
  • Experience in transforming unstructured data from various data sources using SSIS and
  • Airflow.
  • Monitored infrastructure on RDS, Databases, EC2, Lambda, ECS, AWS Fargate, and EKS using
  • CloudWatch, Grafana, New Relic and Datadog.
Retrieval-Augmented Generation (RAG)SQL DevelopmentData EngineeringCloud InfrastructureSolution ArchitectureData Solutions

Verizon

AWS Architect

Mar 2018 โ€“ Jun 2019 ยท 1 yr 3 mos ยท Washington DC-Baltimore Area

  • Work with central infrastructure team on architecture choices and the best practices to
  • adopt AWS efficiently and cost-effectively.
  • Ensure success in building, migrating, and deploying applications, software and services on the AWS
  • platform
  • Engage with developers, system administrators, software architects, project manager and directors
  • to define cloud strategies and deployments
  • Responsible for the end-to-end journey from On-Premise to Cloud with defining strategy,
  • transformation, cloud deployment, cloud Integration, Cloud migration, and successful transitions to
  • implementation support teams
  • Plan, consult, and design architecture and solutions on AWS along with AWS Team
AWS ArchitectureCloud MigrationDevOpsCloud Solutions Architecture

Inovalon

Senior Data Engineer

Nov 2014 โ€“ Feb 2018 ยท 3 yrs 3 mos ยท Washington DC-Baltimore Area

  • Experienced in working with Hadoop clusters using Cloudera distributions.
  • Developing big data solutions in Hadoop Ecosystem using Apache Spark, Hive and Pig.
  • Developed various data ingestion pipelines using streaming tools like Flume, Spark and Kafka.
  • Worked with Data lake architecture and setting up Hadoop environment for
  • ingesting claim and provider data from multiple sources.
  • Import/export data using Sqoop from Relational Database systems to HDFS.
  • Involved in creating Hive tables, loading and analyzing data using hive queries.
  • Worked on Spark SQL, Data Frame, Spark Streaming, Reading/ Writing data from Avro, Json, Text,Parquet to RDD.
  • Exploring with Spark various modules of Spark and working with Data
  • Frames, RDD and Spark Context.
  • Serve as a mentor and trainer of other members of the team. Provide guidance, assist in building skill sets, and provide knowledge of ETLprocessing, T-SQL debugging, Performance tuning technique, SSIS, SSRS for junior IT operation specialist.
HadoopApache SparkData IngestionData Engineering

Ncqa

Data Architect

Jul 2012 โ€“ Oct 2014 ยท 2 yrs 3 mos ยท Washington, District of Columbia, United States

  • Gathered user requirements and analyzed and designed software solution and database.
  • Responsible for data extraction and data ingestion from different data sources into Hadoop Data Lake by creating ETL pipelines using Pig, and Hive.
  • Worked extensively with Hive DDLs and Hive Query language (HQLs).
  • Helped in the design of the Architecture of the Data Warehouse and helped in performance tuning of the data base.
  • Designed SSIS Packages to transfer data from various sources like Text Files, SQL Server, and Excel to SQL Server using Business Intelligence Development Studio.
  • Wrote T-SQL queries, Stored Procedures and used them to build packages.
  • Created indexes on selective columns to speed up queries and analyses in SQL Server Management Studio.
  • Stored Procedures, User Defined Functions, Views, TSQL Scripting for complex business logic.
  • Worked on QA testing by writing scripts for source and target data to verify the integrity of the data.
ETLData Warehouse DesignSQL ServerData Architecture

International monetary fund

SQL/BI Developer

Jan 2012 โ€“ Jun 2012 ยท 5 mos ยท Washington DC-Baltimore Area

  • Designed and developed Complex SSIS packages for auditing using SQL SERVER 2008 Integration Services (SSIS).
  • Created schema objects such as tables, views, clusters, indexes, procedures, triggers & maintaining Referential Integrity.
  • Involved in Maintenance and Deployment of SSIS Packages.
  • Create database objects in SQL Server 2008 including Tables, Triggers, Views, Stored Procedures,
  • User Defined Functions (UDF) and Indexes.
  • Created SSIS packages using SSIS designer for export heterogeneous data from OLE DB Source (Oracle), Excel spreadsheet to SQL Server 2008
  • Developed Custom Reports, Ad-hoc Reports by using SQL Server Reporting Services (SSRS).
SQL DevelopmentSSISReporting ServicesBusiness Intelligence

Alorica

SQL Developer

Oct 2010 โ€“ Dec 2011 ยท 1 yr 2 mos ยท Plantation,FL

  • Design ER diagrams and mapped the data into database objects.
  • Wrote SQL scripts to insert update and delete data in MS SQL database.
  • Created schema, views, stored procedures, Triggers and functions for Data Migration. Involved in
  • the complete life cycle of the project, from Planning Staging and pushing the codes to production.
  • Transform data from various data sources using OLE DB connection by creating various SSIS
  • packages.
SQL DevelopmentData MigrationDatabase Management

Bank of america

SQL Developer

Jul 2009 โ€“ Sep 2010 ยท 1 yr 2 mos ยท Metro Jacksonville

  • Created database and database objects like tables, stored procedures, views, triggers, user defined data types and functions.
  • ETL implementation using SQL Server Integration Services (SSIS), applying some business logic and data cleaning in staging server to maintain child and parent relationship.
  • Designed, built the dimensions, cubes with star schema using SQL Server Analysis Services (SSAS).
  • Worked on improving the performance of the system.
SQL DevelopmentETLDatabase Management

Zed

SQL Developer

Aug 2008 โ€“ Jun 2009 ยท 10 mos

  • Used SSIS to create ETL packages to Validate, Extract, Transform and Load data to Data Warehouse and Data Mart Databases.
  • SQL Server 2005 RDBMS database development using T-SQL programming, queries, stored procedures, views.
  • Taking weekly database backup and schedules job using SQL Agent.
  • Experience in designing and building the dimensions and facts with star schema and snowflake schema using SQL Server Analysis Services (SSAS).
SQL DevelopmentETLDatabase Management

Education

Stevens Institute of Technology

MS โ€” Computer Engineering

Jan 2008 โ€“ Jan 2010

Gujarat University

Bachelor of Engineering - BE

Jun 2003 โ€“ Jul 2007

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