Senior Data Engineer with Cloud Lakehouse Expertise

Kiran Kumar Velinedi

Email: *********@*****.***

Mobile: 469-***-****

LinkedIn: https://www.linkedin.com/in/kirankumarvelinedi9/ Senior Data Engineer

PROFESSIONAL SUMMARY

Architected scalable batch and streaming data pipelines with Python, SQL, Spark and Airflow, enabling reliable governed analytics on enterprise healthcare and retail financial datasets.

Designed data lake and warehouse solutions on AWS, Azure, Snowflake and Databricks, standardizing ingestion, transformation and storage patterns to accelerate reporting for business stakeholders.

Engineered ETL frameworks with Azure Data Factory, dbt and SQL, enforcing modeling standards, data quality checks and HIPAA-aligned controls on claims datasets across environments.

Optimized end-to-end analytics delivery by partnering with analysts and product teams, transforming transactional, clinical and operational data into trusted Power BI and Tableau dashboards.

Facilitated excellent written oral communication skills to streamline team meetings, enhancing collaboration and decision-making.

Leveraged passion automation continual process improvement to boost efficiency and reduce operational costs by 15%.

TECHNICAL SKILLS

Cloud Platforms - AWS (EC2, Lambda, Glue, S3, Kinesis, IAM, EKS, Redshift), Azure (ADF, Synapse, Azure SQL, Entra ID, Key Vault), GCP (BigQuery, GKE, Cloud Storage)

Infrastructure as Code (IaC) - Terraform, Ansible, ARM Templates, Bicep, CloudFormation, Jenkins, Azure DevOps

Monitoring and Incident Response - New Relic, AWS CloudWatch, Azure Monitor, ServiceNow, RCA, SLA Management

Security and Compliance - IAM, Encryption, NIST 800-53, CIS Benchmarks, PCI-DSS, RBAC, Key Vault, Audit Logging

CI/CD and DevOps - Jenkins, GitHub Actions, Git, GitLab, CodePipeline, CI/CD Pipelines, Shell Scripting

Programming & Scripting - Python, SQL, Bash, PowerShell, Perl

Data Engineering - AWS Glue, Azure Data Factory, DBT, Apache Kafka, Spark, Hive, GCP Dataflow, Informatica

Databases - Redshift, Snowflake, Azure SQL, PostgreSQL, MongoDB, MySQL, Oracle, Oracle Exadata

Dashboards and Visualization - Power BI, Tableau, Looker, AWS QuickSight

System Administration - Linux, Unix

PROFESSIONAL EXPERIENCE

Gold Coast Health Plan Aug 2024 – Present

Senior Data Engineer

Streamlined claims and eligibility data ingestion into Azure Data Lake and Snowflake, building batch pipelines that reduced manual extracts and accelerated reporting for compliance.

Automated ETL workflows with Azure Data Factory, Databricks and Airflow, applying data quality rules, checks and alerting so actuarial models received dependable, timely datasets.

Integrated HL7 and FHIR clinical feeds with warehouse structures using Kafka, Spark and SQL, aligning identifiers to deliver unified member views for utilization analytics.

Orchestrated dimensionally modeled marts in Snowflake for care management, curating claims and eligibility attributes that powered Power BI dashboards tracking gaps and outreach performance.

Developed data catalog and lineage views with Collibra and Alation metadata, documenting business definitions and transformations so analysts could reuse tables without duplicating pipelines.

Orchestrated system/architecture improvements by optimizing Linux-based processes and Unix toolsets, resulting in a 40% increase in backend focus efficiency and reduced operational costs by 30%. Pequot Health Care Jan 2024 – Jul 2024

Data Engineer

Configured Azure Synapse Analytics workspaces, roles and partitioned tables for encounter and diagnosis datasets, improving query responsiveness for clinical quality and utilization review analysts.

Modernized on-premises SQL Server warehouse by migrating SSIS workloads into Azure Data Lake, Databricks and Snowflake, reducing maintenance overhead and enabling predictive analytics projects.

Consolidated claims, eligibility and provider sources into star-schema models with dbt and SQL, improving consistency of cost-of-care metrics across actuarial, finance and reporting solutions.

Enhanced Power BI and SSRS dashboards by curating models, row-level security and DAX calculations, giving executives visibility into growth, utilization and authorization turnaround metrics.

Standardized governance for health information by defining Collibra policies, lineage and access controls, strengthening HIPAA and GDPR compliance across analytics, reporting and data workspaces

Engineered ETL/database load/extract processes using Informatica and Oracle Exadata, achieving a 99.9% reliability rate and reducing data warehouse processing time by 50%. Seven Eleven Jan 2019 – Jan 2022

Data Engineer

Analyzed POS, loyalty and inventory feeds, building Python and Spark pipelines into BigQuery and Redshift, exposing performance metrics for merchandising and supply chain teams.

Validated data quality with SQL, dbt and Great Expectations across promotions, pricing and inventory tables, reducing anomalies before models and fraud analytics used datasets.

Coordinated streaming architectures with Kafka, Kinesis and Lambda, capturing clickstream and mobile app events into S3 data lakes powering realtime assortment and pricing dashboards.

Documented metric definitions, dimensional models and transformation logic for merchandising, pricing and loyalty analytics, reducing onboarding time for analysts across Power BI and Looker.

Implemented batch and streaming jobs with Docker, Kubernetes and Jenkins CI/CD, delivering datasets that supported A/B tests on pricing promotions, shelf placement and offers. EDUCATION

Master's in Engineering Data Science - University of Houston

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