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Hello! I’m Lakshmi Prayuktha Mudumba, a results-driven AI Engineer with 4+ years of experience building and supporting production ETL/ELT pipelines on Azure. I’m skilled in Azure Data Factory, Data Bricks (Spark), ADLS Gen2, and Synapse, with strong expertise in SQL, Python, and PySpark to deliver reliable, analytics-ready datasets. I have hands-on experience applying Gen AI (RAG and agent-based automation) to enable Run Ops triage, remediation support, and data-driven decision making. I’m actively seeking new opportunities to drive measurable business impact through data-driven decision making and advanced analytics, automation, and AI-enabled workflows.…Hello! I’m Lakshmi Prayuktha Mudumba, a results-driven AI Engineer with 4+ years of experience building and supporting production ETL/ELT pipelines on Azure. I’m skilled in Azure Data Factory, Data Bricks (Spark), ADLS Gen2, and Synapse, with strong expertise in SQL, Python, and PySpark to deliver reliable, analytics-ready datasets. I have hands-on experience applying Gen AI (RAG and agent-based automation) to enable Run Ops triage, remediation support, and data-driven decision making. I’m actively seeking new opportunities to drive measurable business impact through data-driven decision making and advanced analytics, automation, and AI-enabled workflows.

Lakshmi Prayuktha Mudumba

AI Engineer, Data Scientist, AI Developer, +2

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Hello! I’m Lakshmi Prayuktha Mudumba, a results-driven AI Engineer with 4+ years of experience building and supporting production ETL/ELT pipelines on Azure. I’m skilled in Azure Data Factory, Data Bricks (Spark), ADLS Gen2, and Synapse, with strong expertise in SQL, Python, and PySpark to deliver reliable, analytics-ready datasets. I have hands-on experience applying Gen AI (RAG and agent-based automation) to enable Run Ops triage, remediation support, and data-driven decision making. I’m actively seeking new opportunities to drive measurable business impact through data-driven decision making and advanced analytics, automation, and AI-enabled workflows.…Hello! I’m Lakshmi Prayuktha Mudumba, a results-driven AI Engineer with 4+ years of experience building and supporting production ETL/ELT pipelines on Azure. I’m skilled in Azure Data Factory, Data Bricks (Spark), ADLS Gen2, and Synapse, with strong expertise in SQL, Python, and PySpark to deliver reliable, analytics-ready datasets. I have hands-on experience applying Gen AI (RAG and agent-based automation) to enable Run Ops triage, remediation support, and data-driven decision making. I’m actively seeking new opportunities to drive measurable business impact through data-driven decision making and advanced analytics, automation, and AI-enabled workflows.

Available to hire

Hello! I’m Lakshmi Prayuktha Mudumba, a results-driven AI Engineer with 4+ years of experience building and supporting production ETL/ELT pipelines on Azure. I’m skilled in Azure Data Factory, Data Bricks (Spark), ADLS Gen2, and Synapse, with strong expertise in SQL, Python, and PySpark to deliver reliable, analytics-ready datasets.

I have hands-on experience applying Gen AI (RAG and agent-based automation) to enable Run Ops triage, remediation support, and data-driven decision making. I’m actively seeking new opportunities to drive measurable business impact through data-driven decision making and advanced analytics, automation, and AI-enabled workflows.

Skills

Experience Level

Expert

Expert

Expert

Intermediate

Intermediate

Language

English

Fluent

Work Experience

AI Engineer at Verizon (Remote)

July 1, 2024 - December 1, 2025

Automated end-to-end Run Ops using an AI Agent integrated with Azure Monitor, ADLS, Data Bricks, and Synapse; replaced manual pipeline monitoring with automated triage, remediation, and evidence-based updates. Implemented Python automation for incident handling and posted actionable remediation steps to Teams while creating/updating Jira incidents with full diagnostic data.

Lab Data Engineer at Quisite (Remote), India

January 1, 2020 - January 1, 2021

Built hands-on data engineering labs and real-world scenarios for candidate training, including data sets, problem statements, and end-to-end workflows. Designed a travel-search case study and developed predictive models (Python, Pandas, Scikit-learn) that improved search accuracy by about 10%. Cleaned and transformed lab data using SQL and Python to ensure high-quality inputs for models.

Data Engineer at Telstra Group Limited (Client: Telstra)

July 1, 2011 - December 1, 2023

Built 20+ daily batch data pipelines ingesting telecom usage data from multiple internal enterprise systems, generating subscriber-level usage aggregates (voice minutes, SMS, data usage, roaming vs domestic usage, plan/add-on consumption) for analytics and reporting. Implemented Spark-based transformations in Data Bricks and loaded processed data into ADLS Gen2; established schema validation and contributed to data quality improvements.