About siddhant
I am a Data Engineer specializing in cloud native data pipelines, large scale ETL, and AI driven systems. I bring experience across AWS (Glue, DynamoDB, S3, EC2, QuickSight), PySpark, SQL, and Neo4j; supported by strong analytical and systems foundations from my M.S. in Information Systems at the University of Maryland. Currently, I design, build, and optimize end-to-end data workflows that improve data quality, scalability, and downstream analytics. My work includes developing automated ETL frameworks, enhancing DynamoDB configurations, implementing data quality controls, and creating analytical assets that support business operations and regulatory decision making. Beyond core data engineering, I also build GenAI pipelines, including LLM based applications, vector database architectures, retrieval systems, and cloud hosted ML integrations. This blend of data engineering and AI experience enables me to create reliable, production ready solutions that bridge traditional data systems with modern intelligent technologies. Key strengths include: * Cloud Data Engineering (AWS, ETL/ELT, PySpark) * Data Modeling, DQ frameworks, and metadata management * LLMs, vector databases, and AI/ML pipeline development * Business intelligence, statistical analysis, and predictive modeling I’m driven by complex data challenges and enjoy building systems that scale, whether for analytics, automation, or next generation AI applications. Always open to connecting :)
Key Skills
Experience
Data Engineer
CurrentResolution Life
* Part of the Data Wellness Team that created a comprehensive data dictionary by meticulously mapping Source-to-Target Mappings (STMs) for term life policies from AWS Glue databases, ensuring data integrity and streamlined access to critical information. * Leveraged AWS Neptune to create a graph database, effectively illustrating technological roadmaps aimed at increasing operational efficiency within the organization. * Analyzed diverse sets of claims, policy, and transaction data, harnessing insights to drive data-driven decision-making and enhance organizational performance. * Presented complex findings in a business-friendly manner, employing effective data visualizations with tools such as Amazon QuickSight to enhance data-driven decision-making. * Engaged in cross-functional teamwork, presenting complex technical information to non-technical stakeholders, promoting clear communication and collaboration.
Data Engineer
Tek Leaders Inc
* Client: Resolution Life * Build DynamoDB configurations and Python scripts to ingest files from multiple source systems into the AWS Data Lake using the ingestion framework * Write PySpark code for AWS Glue jobs that move processed data between layers of the pipeline stored in S3 * Develop Python scripts for the ProductLife application to index documents using large language models * Built a PySpark-based data quality framework enforcing rule-based validations for accuracy, completeness, and consistency across ingested datasets * Present findings to business stakeholders using Amazon QuickSight dashboards to support data-driven decision-making * Collaborate with analysts and architects on techniques for organizing and cleaning data, and perform data analysis to deliver actionable business insights
Data Engineer Intern
Resolution Life
Education
University Of Maryland - Robert H. Smith School Of Business
Master Of Science
University Of Mumbai
Bachelor Of Engineering
Rajhans Vidyalaya
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Common Questions
What is siddhant's expertise?
siddhant specializes in Vector Database Engineer, with expertise in amazon dynamodb, amazon web services, analysis of algorithms, analytical skills, annotation.
Where is siddhant located?
siddhant is based in fairfax, virginia, united states.
How much experience does siddhant have?
siddhant has 6+ years of professional experience.
How can I contact siddhant?
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