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 850M+ 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
GCP BigQuery, Azure Cosmos DB, Technical Documentation, Amazon Kinesis (Streams & Firehose), Secure Data Access (Managed Identities, RBAC), PII / Financial Data Handling, Parameterized & Reusable Pipelines, Data Governance, Security & Compliance:, PySpark, Analytics & Reporting:, AWS Step Functions, Data Validation & Quality Checks, Orchestration & Automation:, Amazon S3, Event-Driven Data Processing, Cost Optimization Strategies, Azure Data Factory, Azure Data Lake Storage Gen2, ACID-Compliant Data Processing, Serverless ETL Pipelines, Medallion Architecture (Bronze / Silver / Gold), Healthcare Data Modeling, SQL Server Integration Services (SSIS), Lakehouse Architecture, Git Version Control, Delta Lake, Infrastructure as Code (ARM Templates), Amazon Redshift, Spark Job Performance Tuning, Amazon Athena, Streaming Data Pipelines, Amazon Redshift Analytics, Analytical Data Modeling, Columnar Data Formats (Parquet), Data Platforms & Databases:, Python (ETL & Data Transformation), Azure Monitor & Cost Management, Data Engineering & Processing:, SSIR, Azure Data Factory Triggers, AWS CodePipeline, Batch Data Pipelines, Semi-Structured Data (JSON), Large-Scale Healthcare Data Processing, SQL (T-SQL), CI/CD for Data Pipelines, Azure Databricks, Lakehouse-Based Reporting, AWS Lambda, Mentoring Junior Engineers, Python (Data Engineering), Data Architecture & Modeling:, Near Real-Time Dashboards, Event-Driven Workflows, Pipeline Monitoring & Alerting, AWS Data Lake Architecture, Azure DevOps (YAML Pipelines), AWS CodeBuild, AWS Glue Job Orchestration, Athena-Based Ad Hoc Querying, Data Quality as Code, Audit-Ready Data Pipelines, Synapse, HIPAA-Compliant Data Engineering, Cross-Functional Collaboration, AWS Glue, Azure Synapse Analytics, AWS CloudFormation, PHI Data Handling & Protection, Spark SQL, Microsoft SQL Server (2008 / 2012), Power BI, REST APIs, Root Cause Analysis, AWS IAM, Synapse Views, Azure Key Vault, T-SQL, Collaboration & Delivery:, SQL (Redshift SQL), Performance, Optimization & Monitoring:, Analytics-Ready Datasets, Cloud & Data Platforms (Azure-focused):, Agile / Scrum Environments, Infrastructure as Code (AWS CloudFormation), Automated Deployments, Secure Data Access (IAM Roles & Policies), Azure DevOps Services, Azure Synapse Pipelines, ARM Templates, DevOps, CI/CD & Infrastructure:, Regulatory Compliance (SOX, PCI-DSS, GDPR), Data Architecture & Modeling:, Azure Data Factory (ADF), Batch Scripting, Curated & Analytics Data Layers, Azure Purview (Data Lineage & Classification), Partitioning & Optimization Strategies, AWS Step Functions Workflows, Azure Event GridSamikshya Namesakes
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