Reshma Thikkala

Data Engineer

Hyderabad, Telangana, India 5+ yrs exp 95 · Outstanding

About

Data engineer with 2.8 years of experience designing scalable data pipelines and implementing end-to-end ETL solutions. Proficient in Python, PySpark, SQL, AWS, and Apache Spark. Skilled at optimizing data workflows, collaborating with cross-functional teams, and ensuring data quality for advanced analytics and real-time processing.

Skills & Expertise (19)

Python Advanced

8.1/10

2.8

Years Exp

PySpark Advanced

8.0/10

2.8

Years Exp

Apache Spark Advanced

7.9/10

2.8

Years Exp

Apache Airflow Advanced

7.8/10

2.8

Years Exp

SQL Advanced

7.6/10

2.8

Years Exp

Pandas Advanced

7.6/10

2.8

Years Exp

Advanced Microsoft Excel Intermediate

6.5/10

2.8

Years Exp

Jupyter Notebook Intermediate

6.5/10

2.8

Years Exp

Git Intermediate

6.5/10

2.8

Years Exp

PyCharm Intermediate

6.0/10

2.8

Years Exp

Data Visualization Intermediate

6.0/10

2.8

Years Exp

Data Cleansing Intermediate

6.0/10

2.8

Years Exp

Data Validation Intermediate

6.0/10

2.8

Years Exp

Power BI Intermediate

6.0/10

2.8

Years Exp

Power Query Intermediate

5.5/10

2.8

Years Exp

AWS (S3 AWS (Glue AWS (Lambda AWS (Redshift

Work Experience

Data Engineer

Project: Customer Ticketing Trend System

Apr 2024 - Jul 2025

Designed and deployed scalable data pipelines using Python, SQL, and Apache Airflow. Integrated diverse datasets and performed transformation, validation, and cleansing. Leveraged AWS Redshift and S3 to build high-performance data warehousing solutions. Worked closely with stakeholders to gather data needs and optimize report generation.

Data Engineer

Cognizant Technology Solutions

Oct 2022 - Jul 2025

Designed and developed robust ETL pipelines using Python, PySpark, and SQL for large-scale data processing. Built cloud-based data solutions with AWS services such as S3, Redshift, Glue, and Lambda. Automated data workflows using Apache Airflow, reducing manual effort and increasing reliability. Conducted data validation, cleansing, and transformation to improve data accuracy and performance. Optimized Spark jobs and SQL queries, reducing processing times by 20%. Partnered with data scientists to deploy machine learning models in real-time environments using Apache Spark. Collaborated with business and technical stakeholders to define data requirements and deliver actionable insights.

Data Engineer

Project: Automated Data Flow Orchestration

Oct 2022 - Mar 2024

Developed and managed ETL workflows for ingesting and transforming data from multiple sources. Streamlined data ingestion using Python, Pandas, and AWS-based architecture. Created monitoring solutions to identify and resolve pipeline issues proactively.