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Nagesh Panditi

Certified Professional GCP Data Engineer @Deloitte

Bengaluru

5+ years of work experience

Deloitte
Feb 20251 yr 4 mosPresent

Remote

•Building and maintaining Apache Airflow (Cloud Composer) DAGs for automated, scalable data pipelines on GCP. •Designing and developing new data products to support business intelligence and operational reporting. •Writing production-grade Python and SQL for BigQuery-based ETL workflows. •Exporting and transforming data across GCS, BigQuery, and other GCP services for downstream consumption. •Automating daily data processing tasks with dynamic, parameterized workflows.
PwC India
Nov 20244 mosFeb 2025

Bengaluru, Karnataka, India

As a GCP Data Engineer, I am responsible for designing, building, and maintaining scalable data pipelines and infrastructure in the Google Cloud Platform.
Atos Syntel
Apr 20222 yrs 8 mosNov 2024

Chennai, Tamil Nadu, India

Data Pipeline Development: Designed, developed, and maintained scalable data pipelines leveraging GCP services, including Dataproc and Cloud Storage, to streamline data processing and ensure high availability. • Big Data Processing: Utilized PySpark on Dataproc for extensive data processing and transformation tasks, handling large-scale data sets with efficiency and accuracy. • Workflow Orchestration: Implemented and managed complex data workflows using Apache Airflow, ensuring reliable and timely data delivery while optimizing orchestration strategies. • Python Scripting: Developed and optimized Python scripts for various data processing, automation, and integration tasks, enhancing workflow efficiency and system performance. • Data Management: Oversaw the ingestion, transformation, and storage of both structured and unstructured data from diverse sources, ensuring seamless data integration and accessibility. • Performance Tuning: Conducted performance tuning of data pipelines and processing frameworks, enhancing system efficiency and scalability to meet evolving data needs. • Collaboration: Partnered with data scientists, analysts, and other stakeholders to deliver data solutions that align with business objectives and drive actionable insights. Data Governance: Ensured adherence to data quality standards, security protocols, and compliance with relevant data protection regulations, safeguarding data integrity and privacy.
Atos Syntel
Oct 20213 yrs 2 mosNov 2024

Chennai, Tamil Nadu, India

• Data Pipeline Development: Designed, developed, and maintained scalable data pipelines leveraging GCP services, including Dataproc and Cloud Storage, to streamline data processing and ensure high availability. • Big Data Processing: Utilized PySpark on Dataproc for extensive data processing and transformation tasks, handling large-scale data sets with efficiency and accuracy. • Workflow Orchestration: Implemented and managed complex data workflows using Apache Airflow, ensuring reliable and timely data delivery while optimizing orchestration strategies. • Python Scripting: Developed and optimized Python scripts for various data processing, automation, and integration tasks, enhancing workflow efficiency and system performance. • Data Management: Oversaw the ingestion, transformation, and storage of both structured and unstructured data from diverse sources, ensuring seamless data integration and accessibility. • Performance Tuning: Conducted performance tuning of data pipelines and processing frameworks, enhancing system efficiency and scalability to meet evolving data needs. • Collaboration: Partnered with data scientists, analysts, and other stakeholders to deliver data solutions that align with business objectives and drive actionable insights. Data Governance: Ensured adherence to data quality standards, security protocols, and compliance with relevant data protection regulations, safeguarding data integrity and privacy.
JSpiders - Training & Development Center
Aug 20213 mosOct 2021

Bengaluru, Karnataka, India

Nagesh’s AI Stack

gemini
gemini
github copilot
github copilot
langchain
langchain
openai
openai

Education

JNTU Anantapur

Bachelor of Technology - BTech, Electrical, Electronics and Communications Engineering

JNTU Anantapur

20174 yrs2021

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Headline

Certified Professional GCP Data Engineer @Deloitte

About

I'm a GCP Certified Data Engineer with 4 years of experience building automated, scalable data pipelines using tools like Cloud Composer, BigQuery, and PySpark. I specialize in: * Building ETL workflows using Airflow-Composer * Optimizing PySpark batch processing on Dataproc I’ve helped finance and analytics teams automate 100+ manual reports, reduce query costs, and improve data availability. If you’re looking to optimize your GCP data pipelines or automate batch workloads, feel free to DM me or schedule a quick call.

Location

Bengaluru

AI stack

gemini

github copilot

langchain

openai

Work experience

GCP DATA ENGINEER at Deloitte, Feb 2025 - Present · 1 yr 4 mos, Remote, •Building and maintaining Apache Airflow (Cloud Composer) DAGs for automated, scalable data pipelines on GCP. •Designing and developing new data products to support business intelligence and operational reporting. •Writing production-grade Python and SQL for BigQuery-based ETL workflows. •Exporting and transforming data across GCS, BigQuery, and other GCP services for downstream consumption. •Automating daily data processing tasks with dynamic, parameterized workflows.

GCP data engineer at PwC India, Nov 2024 - Feb 2025 · 4 mos, Bengaluru, Karnataka, India, As a GCP Data Engineer, I am responsible for designing, building, and maintaining scalable data pipelines and infrastructure in the Google Cloud Platform.

GCP Data Engineer at Atos Syntel, Apr 2022 - Nov 2024 · 2 yrs 8 mos, Chennai, Tamil Nadu, India, Data Pipeline Development: Designed, developed, and maintained scalable data pipelines leveraging GCP services, including Dataproc and Cloud Storage, to streamline data processing and ensure high availability. • Big Data Processing: Utilized PySpark on Dataproc for extensive data processing and transformation tasks, handling large-scale data sets with efficiency and accuracy. • Workflow Orchestration: Implemented and managed complex data workflows using Apache Airflow, ensuring reliable and timely data delivery while optimizing orchestration strategies. • Python Scripting: Developed and optimized Python scripts for various data processing, automation, and integration tasks, enhancing workflow efficiency and system performance. • Data Management: Oversaw the ingestion, transformation, and storage of both structured and unstructured data from diverse sources, ensuring seamless data integration and accessibility. • Performance Tuning: Conducted performance tuning of data pipelines and processing frameworks, enhancing system efficiency and scalability to meet evolving data needs. • Collaboration: Partnered with data scientists, analysts, and other stakeholders to deliver data solutions that align with business objectives and drive actionable insights. Data Governance: Ensured adherence to data quality standards, security protocols, and compliance with relevant data protection regulations, safeguarding data integrity and privacy.

Data Engineer at Atos Syntel, Oct 2021 - Nov 2024 · 3 yrs 2 mos, Chennai, Tamil Nadu, India, • Data Pipeline Development: Designed, developed, and maintained scalable data pipelines leveraging GCP services, including Dataproc and Cloud Storage, to streamline data processing and ensure high availability. • Big Data Processing: Utilized PySpark on Dataproc for extensive data processing and transformation tasks, handling large-scale data sets with efficiency and accuracy. • Workflow Orchestration: Implemented and managed complex data workflows using Apache Airflow, ensuring reliable and timely data delivery while optimizing orchestration strategies. • Python Scripting: Developed and optimized Python scripts for various data processing, automation, and integration tasks, enhancing workflow efficiency and system performance. • Data Management: Oversaw the ingestion, transformation, and storage of both structured and unstructured data from diverse sources, ensuring seamless data integration and accessibility. • Performance Tuning: Conducted performance tuning of data pipelines and processing frameworks, enhancing system efficiency and scalability to meet evolving data needs. • Collaboration: Partnered with data scientists, analysts, and other stakeholders to deliver data solutions that align with business objectives and drive actionable insights. Data Governance: Ensured adherence to data quality standards, security protocols, and compliance with relevant data protection regulations, safeguarding data integrity and privacy.

Java full stack training at JSpiders - Training & Development Center, Aug 2021 - Oct 2021 · 3 mos, Bengaluru, Karnataka, India

Education

Bachelor of Technology - BTech, Electrical, Electronics and Communications Engineering, JNTU Anantapur