• Designed and maintained ETL pipelines within Databricks, efficiently managing large datasets from diverse sources such as AWS S3, relational databases, and batch services.• Implemented Databricks Medallion Architecture to organize data processing layers, moving data from Raw (Bronze) to Silver and finally to the gold layer, enabling advanced analytics and business intelligence.• Worked with different file system e.g.: Avro, Parquet, JSON and flat files.• Built Product for John Deere Risk Analysis team for Retail and Wholesale customers using different programming languages e.g., Python, PySpark and SQL.• Worked with different stakeholders to gather the requirements and implement the logic.• Developed data orchestration using AWS Apache Airflow and other AWS services e.g., SQS, SNS, CloudWatch, DynamoDB, lambda and DMS.• Leveraged Jenkins and GitHub for CI/CD, automated the deployment, testing, and monitoring of ETL pipelines.• Build AWS infrastructure using Terraform. Automated the process of updating customer managed key for existing entries in parameter store using python Boto3.• Enhanced data governance by implementing robust data quality checks, lineage tracking, and compliance reporting within Databricks, ensuring accuracy and integrity across all data layers.• Built Unit Testing framework using pytest with 100% code coverage for critical functionalities identified by business.• Construct Databricks jobs utilizing various Spark cluster configurations, including cluster mode, Databricks runtime, autoscaling, and worker count.• Experience leveraging Unity Catalog to establish and enforce data governance and security policies within the Databricks environment.• Documented data architecture, ETL pipelines, and CI/CD processes to improve knowledge transfer and onboarding for new team members.• Participated in Agile ceremonies including sprint planning, reviews, refinement and retrospectives, contributing to continuous improvement and project success.

●Performed data wrangling/analysis using SQL and PySpark to identify fraudulent applicants for Medicaid eligibility using employment status and household income data.●Built a series of data visualizations (histograms, scatter plots, joint plots, etc.) using Pandas, Matplotlib & Seaborn, enabling key internal stakeholders to gain a richer understanding of what consumer attributes are most highly correlated with eligibility outcomes.●Performed data modelling and data analysis on Medicaid Claim data hosted on Teradata database.

• Led an team, managing the lifecycle of internal projects and bringing them to completion.• Collaborated internally with senior leadership and externally with client stakeholders to identify inconsistencies across different data sources, successfully streamlining data processes and maintaining strong customer satisfaction levels.• Developed interactive data visualizations in customized dashboards with in-house tool, empowering non-technical business partners to tell their own data stories, improving the overall customer experience and satisfaction levels.

• Performed and delivered end-to-end data analyses (from pre-processing to missing value imputation to insights derivation) for AT&T, one of Accenture’s core telecommunications clients• Worked extensively on SQL to collect and transform the data.• Worked across all phases of the data extraction, performed database testing across multiple environments such as dev, QA and prod.• Implemented Agile-based practices and tools in conjunction with the Software Development Life Cycle (SDLC), translating business requirements into detailed functional and non-functional specifications

• Performed data-type mapping, data migration, and ETL on both staging and production systems.• Utilized Apache Tomcat and IIS servers to configure SSL certificates on A10 and F5 BIG-IP.• Performed database testing on all different testbed, eg: Testing, Staging and production system.• Conducted team meetings and ensured project documentation is completed in accordance with Agile best practice.

• Spearheaded the overall redesign of data schemas and technical specifications for a key telecommunications client based in Mexico.• Developed stored procedures and user defined functions using PL/SQL• Trained a team of 25 engineers on best practices for internal technology products including NGIN Platform, Call Flow Design, VPN Services.• Designed and automated weekly reports and project updates to senior leadership, performing root cause analysis (RCA) to diagnose any issues that arise, and outlining specific plans to tackle those issues. • Performed User Acceptance Testing (UAT) with multiple clients, achieving 100% success rate prior to deploying production systems.• Worked on complete GSM Architecture and different Network Entities data.