I’m Chandrika, a storyteller with a passion for data. I thrive on transforming raw data into narratives that drive decisions, whether it’s through modifying data via ETL pipelines, crafting machine learning models, or predicting trends with time series forecasting. My journey also involves designing DLP rules, identifying vulnerabilities in infrastructure, and ensuring data stays secure. But it’s not just about the numbers, I love collaborating with people, learning from every interaction, and growing through shared experiences. For me, data isn’t just work; it’s a way to connect, create, and innovate.

A LITTLE ABOUT ME

Professional Pathways

  • Developed scalable data pipelines integrating Google Cloud Storage (GCS) with BigQuery for efficient data processing and reporting.

  • Created custom Python scripts for optimized data processing on DataProc clusters.

  • Implemented secure SFTP ingestion for customer survey data, enhancing insights into customer satisfaction and churn.

  • Designed an ETL pipeline in Apache Airflow to seamlessly integrate SharePoint data into the Enterprise Data Model (EDM).

  • Utilized Hadoop, Hive, and Spark for high-performance data processing and user analytics.

  • Integrated Google Cloud Platform (GCP) with Snowflake, improving data transfer and processing efficiency.

  • Applied Machine Learning models (Decision Trees, Random Forests) to analyze customer survey data, leading to a 12% reduction in churn.

Data Analytics Engineer| Verizon Wireless Systems

May 2023 – Aug 2023

Oct 2023 – Present

  • Developed scalable ETL workflows using AWS Glue, integrating datasets across multiple environments to enhance reporting accuracy.

  • Designed a Power BI dashboard connected to Amazon Redshift, providing real-time insights on submission tracking and pipeline failures.

  • Ensured data security by implementing IAM-based access control and monitoring potential PII exposure risks.

  • Collaborated with underwriters and cross-functional teams to enhance data accuracy and drive actionable insights through dashboards.

Data Analytics Engineer | Sundaram Finance

Jan 2020 – July 2022

Data Analyst Intern | Munich Re America
  • Built ETL pipelines using PySpark, processing large telecom network logs and integrating them with BigQuery for fast analysis.

  • Developed a reporting framework to identify network bottlenecks and optimize performance metrics.

  • Utilized Google Cloud DataProc to manage and process multi-terabyte datasets efficiently.

  • Created interactive Power BI dashboards, integrating data from AWS S3, RDS, and Redshift for real-time KPI tracking.

  • Analyzed sales data using Python, leading to targeted marketing strategies and reduced customer churn.

My DATA Stories

Stories of innovation, insights, and impactful outcomes.

Data Analytics & Visualization

Harnessing the power of big data and AI to solve complex problems.

Bringing insights to life through interactive dashboards and predictive models.

Big Data & AI Solutions