Data Engineer Power Bi

SAKKIROLLA SRIRAAGA

+1-972-***-**** ************@*****.*** Seattle, WA LinkedIn

PROFESSIONAL SUMMARY

Data Engineer with 3+ years of experience designing and scaling AWS-native data lakes and warehouses (Redshift, S3, Glue, Lambda, EMR, Athena). Proven success in building ETL pipelines, data models, and analytics solutions using Python, SQL, and Spark. Skilled at optimizing pipelines for speed, cost, and reliability, with strong expertise in streaming (Kafka/Kinesis), automation, and CI/CD. Recognized for driving measurable impact, such as reducing BI latency by 35% and cutting query costs by

$1.5K/month. Passionate about ownership, innovation, and delivering results aligned with Amazon’s Leadership Principles. SKILLS

Languages & Tools: Python, SQL, PySpark, Java, KornShell AWS & Cloud: S3, Redshift, Glue, Lambda, Athena, RDS, EMR, Kinesis, IAM, CloudWatch, Databricks Big Data & ETL: Hadoop, Hive, Spark, dbt, Airflow, Informatica, SSIS, DataStage, Kafka, Kinesis Firehose Data Modeling & Warehousing: Dimensional modeling, schema design, Redshift, Snowflake, BigQuery, DynamoDB Visualization: Tableau, QuickSight, Power BI

DevOps/Automation: GitHub Actions, Terraform, MLflow, Kubernetes PROFESSIONAL EXPERIENCE

Stanley Black & Decker Irving, TX, USA

Data Engineer March 2025 - Present

• Designed large-scale ETL pipelines (Airbyte and REST APIs AWS S3), boosting ingestion speed by 50%.

• Built 100+ dbt models in Redshift/Snowflake, reducing BI query latency by 35%.

• Proactively automated deployments with GitHub Actions and Terraform, cutting failures by 60%.

• Containerized Spark jobs on Kubernetes, improving compute efficiency by 25%.

• Led collaboration with data scientists on anomaly detection (ELK stack), reducing resolution time by 90% Tekgigz Dallas, TX, USA

Data Engineer August 2023 - March 2025

• ETL pipelines in Databricks (Azure, transferable to AWS Glue/Redshift), improving load speed by 45%.

• Built Kafka/Spark Streaming pipelines (1M+ events/hour, <1s latency); experience transferable to AWS Kinesis/Firehose.

• Optimized BigQuery partitioning and clustering, reducing query costs by $1.5K/month.

• Integrated MLflow for 15+ predictive models, improving reproducibility of model deployments. Cognizant Hyderabad, TG, India

Programmer Analyst June 2021 - August 2022

• Automated 15+ ETL processes with ADF (transferable to AWS Glue/Lambda), achieving a 99.9% success rate.

• Built real-time IoT streaming pipelines with Azure Stream Analytics (<2s latency).

• Orchestrated workflows with Airflow and ActiveBatch, improving system scalability and reliability. PROJECTS

Retail Sales Analytics Pipeline (AWS)

• Designed an end-to-end pipeline with S3, Glue, and Redshift, cutting reporting latency by 40%.

• Automated ingestion from CSVs, APIs, and JSON into S3 with Glue orchestration.

• Delivered QuickSight dashboards, enabling analysts to double decision-making speed. Sustainability Data Exploration

• Built Athena queries and QuickSight dashboards on renewable datasets, aligning with AWS Climate Pledge. EDUCATION

Southeast Missouri State University August 2022 - December 2023 Master's, Computer Science GPA: 3.8

CERTIFICATIONS

• Microsoft Certified: Azure Fundamentals (AZ-900)

• Databricks Academy: Data Engineering with Databricks.

Contact this candidate