Samikshya: Email & Phone Number
Opt-OutPosition:
Senior Data Engineer at Capital One
Location:
Dallas-Fort Worth Metroplex, United States
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Sign up to search for other Samikshya's across our 900M+ professionals databaseWork Experience 9 years
Jun 2022 - Current
Jun 2019 - May 2022
Sep 2017 - Apr 2019
Their professional focus is ACID-Compliant Data Processing, Agile / Scrum Environments, and Amazon Athena across 3 core areas.
Education
Bachelors at The University of Texas at Arlington
Skills
HIPAA-Compliant Data Engineering, AWS CodeBuild, AWS Glue, AWS IAM, Delta Lake, Pipeline Monitoring & Alerting, Streaming Data Pipelines, SSIR, Event-Driven Workflows, Data Architecture & Modeling:, Analytics-Ready Datasets, Azure Event Grid, Azure Cosmos DB, Lakehouse Architecture, Columnar Data Formats (Parquet), Azure Monitor & Cost Management, Large-Scale Healthcare Data Processing, Infrastructure as Code (AWS CloudFormation), Orchestration & Automation:, Data Validation & Quality Checks, Data Governance, Security & Compliance:, Azure Databricks, CI/CD for Data Pipelines, Batch Data Pipelines, Amazon Redshift, GCP BigQuery, SQL Server Integration Services (SSIS), Synapse, Regulatory Compliance (SOX, PCI-DSS, GDPR), Cross-Functional Collaboration, Cloud & Data Platforms (Azure-focused):, Data Architecture & Modeling:, Agile / Scrum Environments, Batch Scripting, DevOps, CI/CD & Infrastructure:, Data Engineering & Processing:, Root Cause Analysis, Azure Synapse Analytics, Secure Data Access (Managed Identities, RBAC), Partitioning & Optimization Strategies, Azure Synapse Pipelines, REST APIs, Python (ETL & Data Transformation), Infrastructure as Code (ARM Templates), Azure Key Vault, Semi-Structured Data (JSON), Git Version Control, Amazon Athena, Cost Optimization Strategies, Microsoft SQL Server (2008 / 2012), Collaboration & Delivery:, Parameterized & Reusable Pipelines, Azure Data Factory, Athena-Based Ad Hoc Querying, Performance, Optimization & Monitoring:, SQL (T-SQL), AWS CodePipeline, Amazon S3, Synapse Views, Azure DevOps (YAML Pipelines), SQL (Redshift SQL), ACID-Compliant Data Processing, AWS Step Functions, AWS Glue Job Orchestration, Audit-Ready Data Pipelines, Azure Data Factory (ADF), Azure DevOps Services, Healthcare Data Modeling, Python (Data Engineering), PHI Data Handling & Protection, Spark SQL, Azure Data Lake Storage Gen2, Event-Driven Data Processing, AWS Step Functions Workflows, Technical Documentation, Data Quality as Code, Automated Deployments, Analytics & Reporting:, AWS Data Lake Architecture, Curated & Analytics Data Layers, Amazon Kinesis (Streams & Firehose), Data Platforms & Databases:, Analytical Data Modeling, Spark Job Performance Tuning, Power BI, ARM Templates, Secure Data Access (IAM Roles & Policies), Medallion Architecture (Bronze / Silver / Gold), Amazon Redshift Analytics, AWS Lambda, AWS CloudFormation, T-SQL, PII / Financial Data Handling, Serverless ETL Pipelines, PySpark, Azure Data Factory Triggers, Azure Purview (Data Lineage & Classification), Near Real-Time Dashboards, Mentoring Junior Engineers, Lakehouse-Based ReportingSamikshya Namesakes
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