Venkata Madineni
Monroe,NJ
Summary
Senior Data Engineer with 15 years of experience building ML/AI-ready, real-time, observable data systems on the cloud. Expert in architecting scalable data solutions across AWS, Databricks, and Snowflake. I specialize in data warehousing, ETL pipelines, and AI/ML-ready datasets. Proven track record in building high-performance, fault-tolerant data platforms, accelerating development with AI tools like Cursor AI, and enabling cross-functional collaboration through innovative methodologies. Built plug-and-play ETL frameworks, led Snowflake-to-Databricks migrations and built processes to establish operational rigor. Designed GDPR/CCPA-compliant governance protocols, automated compliance reporting, and drove metadata and ERD generation using AI. Passionate about data democratization, self-service enablement, and driving business value through modern cloud and AI-driven architectures.
Overview
17
17
years of professional experience
Work History
Data Engineer
Zillow
12.2022 - Current
- Spearheaded multiple product initiatives to deliver AI/ML-ready datasets that enable data scientists to achieve faster insights and outcomes
- Architected a unique collaboration methodology involving source application teams, product owners, and data scientists from concept to delivery, eliminating silos, improving transparency, and streamlining sign-offs at each phase
- Designed a plug-and-play ETL ingestion framework that reduced onboarding timelines for new integrations from weeks to days
- Evaluated and onboarded advanced AI tools such as Cursor AI to accelerate development, reducing coding time from days to hours
- Built robust, scalable data pipelines in Databricks using Spark and DBT during the Snowflake-to-Databricks migration
- Designed fault-tolerant ETL pipelines with detailed monitoring, retry logic, and enhanced observability; integrated with 40+ APIs
- Experienced in architecting real-time streaming and batch ingestion pipelines using Kafka, AWS Kinesis, DMS, S3, and Lambda into Snowflake
- Expert in evaluating tools like Fivetran and Airbyte for performance, data modeling needs, and cost-efficiency
- Applied modern data modeling techniques to build optimized, AI-ready datasets with improved query performance and reduced costs.
- Led a compliance automation initiative for financial datasets, reducing quarterly reporting time from 20 hours to just 2 hours
- Designed and implemented data governance protocols to comply with GDPR and CCPA, including masking policies and row-level security
- Leveraged AI tools to automate metadata generation and data dictionary creation
- Utilized Spark and ERDLab to rapidly develop professional ER diagrams, cutting turnaround time from days to minutes
- Defined data availability contracts, SLAs, retention policies, and disaster recovery/resilience strategies to support enterprise-grade systems
- Primarily used Jira to support iterative delivery and cross-functional collaboration
Sr. Data Engineer, Snowflake and AWS
BBH
01.2022 - 11.2022
- Designed and built scalable data pipelines using AWS DMS, S3, and Snowflake to support data migration and integration from SQL Server and PostgreSQL
- Developed a generalized ingestion and reconciliation framework with built-in error handling, alerting (PagerDuty), and data quality checks using Python
- Implemented Snowflake data shares and monitoring dashboards to improve testing accuracy and streamline ingestion oversight
- Defined SLAs, data retention policies, disaster recovery, and resilience strategies for the enterprise data warehouse
- Led source data profiling, data lineage creation, and metadata documentation for improved governance and transparency
- Delivered end-to-end Tableau reporting solutions, from ingestion to dashboard deployment, enabling actionable insights for business users
- Collaborated with cross-functional teams and external vendors to define data/system requirements and ensure successful solution delivery
Sr. Data Engineer – Cloud Technologies
New York State
05.2017 - 01.2022
- -Led the development, implementation, and support of ETL processes for large-scale Snowflake cloud data warehouse
- Managed bulk data loading from AWS S3 to Snowflake using COPY, LIST, PUT, and GET commands
- Optimized data ingestion from internal to external snowflake stages, ensuring seamless data flow
- Wrote complex Snow-SQL scripts for business analysis and reporting, supporting data-driven decisions
- Troubleshot and resolved critical issues, ensuring the reliability of ETL pipelines
- Validated data integrity by analyzing load and copy history for source-to-target consistency
- Collaborated with business analysts and clients to handle ad-hoc requests and provide production support
- Developed advanced Snowflake queries, including complex joins, views, and materialized views
- Managed data sharing as a provider for consumers, enhancing data accessibility and collaboration
Data Engineer, SSIS
New York Department of Health
09.2013 - 04.2017
- Integrated SSIS for data sharing with agencies, enhancing healthcare data flow
- Crafted Power BI dashboards, improving data visualization for stakeholders
- Utilized SSIS and Power BI to streamline data processes, boosting efficiency
- Facilitated data-driven decisions through effective dashboard development
- Enhanced data accessibility and insights, supporting public health initiatives
Oracle Application Developer
New York State
01.2012 - 08.2013
- Crafted detailed design documents aligning with client needs, enhancing project clarity and direction
- Developed UNIX scripts for efficient file transfers, optimizing data handling processes
- Contributed to performance improvements through database structure refinement and query optimization
Oracle Application Developer
New York State
05.2008 - 12.2011
- Supported HR and Finance in app development, enhancing data analysis efficiency
- Improved reporting accuracy, resulting in better decision-making processes
- Utilized Oracle tools to streamline workflows and reduce processing time
- Collaborated with users to identify needs and implement effective solutions
- Analyzed data trends to provide actionable insights for strategic planning
Education
Bachelor of Technology - Electrical and Electronics Engineering
NIT Warangal
India05.2002
Skills
- AWS
- Azure
- Python
- Databricks
- Snowflake
- DBT
- Terraform
- Fivetran/Airbyte
- Streaming (Kafka/Kinesis)
- Data Visualization (Tableau/Power BI)
- Data Governance (GDPR/CCPA)
- Compliance Automation (SOX)
- Data Quality
- Metadata Management
- Real-Time Processing
- Data Lineage
- Error Handling
- Cloud Architecture
<Enter your own>
Title: Senior Data Engineer
Timeline
Data Engineer
Zillow
12.2022 - Current
Sr. Data Engineer, Snowflake and AWS
BBH
01.2022 - 11.2022
Sr. Data Engineer – Cloud Technologies
New York State
05.2017 - 01.2022
Data Engineer, SSIS
New York Department of Health
09.2013 - 04.2017
Oracle Application Developer
New York State
01.2012 - 08.2013
Oracle Application Developer
New York State
05.2008 - 12.2011
Bachelor of Technology - Electrical and Electronics Engineering
NIT Warangal
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