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Srinivas Avadutha

@srinivasavadutha

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Data Engineer building scalable lakehouse ETL pipelines, ensuring trusted analytics and automation.

India

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What I'm looking for

I’m looking for a role where I can build governed lakehouse data platforms and automated ETL pipelines—turning complex data into reliable analytics. I want to optimize performance, improve data quality, and ship repeatable deployments with strong collaboration.

I’m a Data Engineer with 4+ years of experience designing and building scalable data platforms, ETL pipelines, and analytics solutions. I focus on reliable, high-quality workflows—implementing Medallion Architecture (Bronze, Silver, and Gold layers) and using Delta Lake for governed, scalable processing.

At Ngenux Solutions, I migrated Azure Synapse logic into PySpark and Databricks SQL notebooks within a Lakehouse architecture, validating data consistency end-to-end between environments. I optimized Spark workloads using Spark UI metrics and query execution plans, applying techniques like Adaptive Query Execution (AQE), broadcast joins, caching/persistence, partition optimization, and data skew mitigation—then enforced fine-grained access with Unity Catalog and ABAC policies.

I also bring BI migration and reporting strength. From Tableau to Power BI, I built star-schema semantic models with DAX and Power Query, validated results through reconciliation and UAT, and delivered automation improvements such as a 20% reduction in report creation time and measurable workflow efficiency gains.

Experience

Work history, roles, and key accomplishments

Current

Enterprise Reporting Migration

Current

Ngenux Solutions

Nov 2024 - Present (1 year 8 months)

Migrated Tableau dashboards and Azure SQL reporting artifacts to Power BI by rebuilding semantic models and converting Tableau calculations into DAX and Power Query transformations. Validated report parity through data reconciliation and UAT with business stakeholders.

Tableau Power BI Azure SQL DAX Power Query Data Reconciliation User Acceptance Testing (UAT)

Current

Azure SQL->Databricks Migration

Current

Ngenux Solutions

Nov 2024 - Present (1 year 8 months)

Migrated Azure Synapse T-SQL stored procedures and transformation logic into PySpark and Databricks SQL notebooks using a Lakehouse/Delta Lake approach. Reconciled Azure SQL and Databricks data for consistency and applied Spark performance tuning using query execution plan analysis.

PySpark Databricks Azure SQL Delta Lake Lakehouse Architecture Time Travel Data Reconciliation Execution Plans Adaptive Query Execution (AQE)Broadcast Joins Caching Data Skew Handling Unity Catalog ABAC Policies External Tables CI CD Pipelines

Compliance Automations & Reports

Franklin Templeton Investments

Jan 2024 - Oct 2024 (9 months)

Built Power BI templates to reduce report creation time and created SharePoint Lists to automate business processes. Supported automation of questionnaire response collections and analyzed e-commerce surveillance alerts to identify and mitigate potential fraud risks.

Power BI SharePoint Fraud Risk Analysis

Cloud-Based ETL & Power BI

Randstad India

Jun 2022 - Dec 2023 (1 year 6 months)

Managed end-to-end ETL pipelines for a Fortune 100 technology leader and delivered data to SQL environments for Power BI reporting. Developed Power BI dashboards using DAX and interactive navigation features while improving development efficiency through automation.