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* [Overview](#overview)
* [Portfolio](#portfolio)

## About Me

I am a data engineer with more than 11 years of experience building and operating high-throughput ETL and ELT pipelines in cloud-native environments.

I have worked across fintech, healthcare, manufacturing, consumer analytics, telecommunications, and energy-related data domains, with a strong focus on reliable ingestion, transformation, and governance.

My hands-on experience includes Python, SQL, T-SQL, PySpark, Azure Databricks, Azure Data Factory, Delta Lake, Structured Streaming, SQL Server managed instances, and Unity Catalog-style governance controls.

I have designed data architectures that support bronze, silver, and gold Lakehouse layers, implemented schema validation and reconciliation checks, and maintained production systems with an emphasis on stability and zero service disruption.

I also have experience working with APIs, JSON, XML, Excel, flat files, graph data, and messaging systems such as Kafka and Azure Event Hubs, along with DevOps and CI/CD tooling like Git, Jenkins, Docker, Terraform, and Azure DevOps.

I value data quality, lineage, access control, and cross-functional collaboration, and I am comfortable partnering with governance, compliance, analytics, and engineering stakeholders to deliver dependable data platforms.

I am currently open to senior-level data engineering opportunities where I can contribute to scalable data platforms, cloud architecture, and enterprise data management.

## Skills

### [Problem Solving](https://jobicy.com/talent/problem-solving.md)[Python](https://jobicy.com/talent/python.md)[SQL](https://jobicy.com/talent/sql.md)[Excel](https://jobicy.com/talent/excel.md)[Cross Functional Collaboration](https://jobicy.com/talent/cross-functional-collaboration.md)[Docker](https://jobicy.com/talent/docker.md)[Attention To Detail](https://jobicy.com/talent/attention-to-detail.md)[Linux](https://jobicy.com/talent/linux.md)[Git](https://jobicy.com/talent/git.md)[Terraform](https://jobicy.com/talent/terraform.md)[GitHub](https://jobicy.com/talent/github.md)[PostgreSQL](https://jobicy.com/talent/postgresql.md)[MySQL](https://jobicy.com/talent/mysql.md)[Mentoring](https://jobicy.com/talent/mentoring.md)[Power BI](https://jobicy.com/talent/power-bi.md)[Jenkins](https://jobicy.com/talent/jenkins.md)[Grafana](https://jobicy.com/talent/grafana.md)[REST APIs](https://jobicy.com/talent/rest-apis.md)[Oracle](https://jobicy.com/talent/oracle.md)[BASH](https://jobicy.com/talent/bash.md)[Agile Development](https://jobicy.com/talent/agile-development.md)[Data Governance](https://jobicy.com/talent/data-governance.md)[JSON](https://jobicy.com/talent/json.md)[Azure DevOps](https://jobicy.com/talent/azure-devops.md)[XML](https://jobicy.com/talent/xml.md)[SQL Server](https://jobicy.com/talent/sql-server.md)[Postman](https://jobicy.com/talent/postman.md)[Pandas](https://jobicy.com/talent/pandas.md)[Apache Spark](https://jobicy.com/talent/apache-spark.md)[Pyspark](https://jobicy.com/talent/pyspark.md)[T SQL](https://jobicy.com/talent/t-sql.md)[Apache Kafka](https://jobicy.com/talent/apache-kafka.md)[Pytest](https://jobicy.com/talent/pytest.md)[Azure Data Factory](https://jobicy.com/talent/azure-data-factory.md)[AWS Glue](https://jobicy.com/talent/aws-glue.md)[AWS S3](https://jobicy.com/talent/aws-s3.md)[Neo4j](https://jobicy.com/talent/neo4j.md)[Delta Lake](https://jobicy.com/talent/delta-lake.md)[azure monitor](https://jobicy.com/talent/azure-monitor.md)[Great Expectations](https://jobicy.com/talent/great-expectations.md)[Unity Catalog](https://jobicy.com/talent/unity-catalog.md)[Azure Repos](https://jobicy.com/talent/azure-repos.md)[Azure Event Hubs](https://jobicy.com/talent/azure-event-hubs.md)

## Experience

Senior Data Engineer @ SoftServe  Feb 2023 - Present Design and maintain scalable ETL pipelines across multiple public and non-public data sources for fintech and healthcare clients. Own ingestion and schema transformation logic in Azure Databricks Unity Catalog, manage curated Lakehouse tables, migrate batch jobs into streaming and batch Delta Lake pipelines, optimize SQL Server managed instances, implement data quality checks, build Neo4j ingestion routines, and support production pipelines with zero service disruption.

Data Engineer & Cloud Architect @ Quant Systems  Apr 2018 - Nov 2022 Built and maintained ETL and ELT pipelines in Azure Data Factory and Databricks, integrated data from manufacturing and consumer goods systems into SQL Server warehouses, developed Python ingestion scripts for JSON and XML feeds, administered governance controls and ACLs, tuned T-SQL procedures and indexing, and established data quality validation routines for BI dashboards.

Data Engineer @ IBM  Jan 2016 - Dec 2017 Developed SQL-based ETL jobs for financial and telecommunications data, built Python scripts to automate ingestion and validation of Excel and flat-file feeds, and documented schema definitions and lineage for enterprise reporting tables.

## Education

The University of Texas at Austin  2011 - 2015  Bachelor of Science, Computer Science

Completed a Bachelor of Science in Computer Science.

Portfolio not available.

Services not available.