Bhargavi Aitha
Data Engineer with 4 years' experience in building scalable data pipelines and analytics solutions on Google Cloud Platform
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About
Detail-oriented Data Engineer with 4 years' experience in building scalable data pipelines and analytics solutions on Google Cloud Platform (GCP) using Big Query, Dataflow, airflow and Cloud Storage. Skilled in processing large-scale data to deliver actionable insights that enhance business performance and efficiency. Overall, 4 years of experience in Data Engineering, Big Data, SQL GCP, Big Query, SQL, DataFlow, AirFlow.
Proven expertise in designing and implementing scalable data solutions, data integration, ELT development and data warehousing. Proficient in leveraging GCP services such as BigQuery, Cloud Storage and DataFlow for efficient data processing and analysis. Strong programming skills in Python Scripting and PySpark for large scale data processing.
In-depth knowledge of SQL for data manipulation, querying and database management. Demonstrated success in optimizing data workflows, ensuing data quality and accuracy and delivering actionable insights. Excellent problem-solving abilities and a collaborative mindset with a track record of effectively working in cross-functional team.
Developed and maintained complex data pipelines using Apache Airflow for workflow orchestration and task scheduling. Ability to work independently with minimum supervision in a team environment.
Experience
Engineer at Harman Connected Services (2022-04 – Present)
Developer at Quantum Metric
Quantum Metric is a digital experience analytics platform that helps large e-commerce and enterprise companies recover lost revenue by identifying where customers drop off during their journey or face technical issues on websites and mobile apps.
- Built and managed scalable data pipelines on Google Cloud Platform using Big Query, Dataflow, Cloud Storage, and Cloud Functions.
- Processed and transformed billions of user interaction records from web and mobile sources into structured datasets for analysis.
- Designed analytics models to detect customer journey drop-offs and improve conversion funnel performance.
- Applied cost-optimization techniques (partitioning, clustering, storage-compute separation) to reduce Big Query cost.
- Collaborated with product and analytics teams to deliver real-time dashboards showing business KPIs and ROI.
- Supported high scalability during peak events like Black Friday through GCP's elastic compute infrastructure.
- Delivered actionable insights that led to revenue recovery and improved customer experience.
Developer at RLDAtix
RLDatix is a global enterprise software company offering software and services tailored to healthcare organizations. The technology platform is designed to support hospitals and other providers with risk mitigation, regulatory compliance, and workforce management resources.
- Developed DDL and DML scripts to Load data into BigQuery from GCS buckets.
- Analyze and organize the raw data as per the business requirements.
- Evaluation of business requirements and objectives.
- Worked extensively with python. I have built data pipelines, automation scripts and backed logic.
- Creation of BigQuery Data sets, tables and pipelines to store the processed results.
- Used cloud shell in GCP to configure the services Storage, BigQuery.
- Experience in handling CSV, AVRO, PARQUET file formats.
- Preparation of data for prescriptive and predictive modeling.
- Developed Audit tables for reconciliation and metadata tracking purposes.
- Hands-on experience with Airflow to schedule an orchestrated work flow between various internal Components in GCP.
- Create Authorized and Materialized views in BigQuery to provide required data to downstream applications
Education
Bachelor of Technology in Electronics and Communication Engineering – Kamala Institute of Technology and Science (2018-07 – 2022-08)
