Aakarshi Goel

DevOps Engineer

Ghaziabad, Uttar Pradesh, India11 yrs 9 mos experience

Highly Stable

Key Highlights

9 years of experience in data engineering.
Implemented automated CI/CD pipelines for AWS.
Led successful data migration projects improving efficiency.

Stackforce AI infers this person is a Data Engineering expert with a focus on SaaS solutions and cloud technologies.

Contact

Skills

Core Skills

Data EngineeringEtlDatabase Design

Other Skills

AWSAWS GlueAWS LambdaAWS RDSAmazon AthenaAmazon EC2Amazon S3Apache AirflowApache SparkBig DataBoto3C++CeleryCommunicationContinuous Integration and Continuous Delivery (CI/CD)

About

As a Data Engineer, I have been developing and enhancing data solutions for various clients, using a range of technologies such as Prefect, Python, MySQL, AWS, and Terraform. I have successfully implemented a fully automated CI/CD pipeline for AWS Lambdas and AWS Glue code, performed critical debugging in a live environment, and executed data migration for a large contract. With 9 years of experience in data engineering, I have acquired and demonstrated expertise in database designing, project structuring, data manipulation, and data integration. I have also completed two projects in Flask RESTFUL APIs as a Senior Python Developer at Srijan Technologies, and improved database performance by implementing indexing. I hold a Master of Computer Science degree from Delhi University, and several certifications in Linux, Terraform, and Spark. I am passionate about devising and executing cutting-edge data solutions that drive value and innovation for forward-thinking organizations.

Experience

11 yrs 9 mos

Total Experience

1 yr 11 mos

Average Tenure

2 yrs 2 mos

Current Experience

Ltimindtree

Lead Data Engineer

Apr 2024 – Present · 2 yrs 2 mos · Noida, Uttar Pradesh, India

Capgemini invent

Data Engineer

Oct 2019 – May 2024 · 4 yrs 7 mos · Gurugram, Haryana, India

1. Conducted Customer Analytics using Databricks and PySpark to perform customer behavior, preferences, and trends.
2. Initiated Prefect workflow automation in data processing, resulting in a 20% reduction in ETL execution time and a 15% decrease in data processing errors.
3. Engineered intricate data manipulation scripts utilizing the Dask library, resulting in a remarkable 4x improvement in in-memory data transformation speed compared to conventional Pandas workflows.
4. Led team of 4 members in migrating Prefect features to AWS Glue and Lambda using Terraform thereby cutting down the cost 20-50%.
5. Excelled in improving processing speed 2x using multithreading feature of Python.
6. Overcame complex real-time issues performing critical debugging on live environment.

Extract, Transform, Load (ETL)Data AnalysisContinuous Integration and Continuous Delivery (CI/CD)Prefect Dataflow AutomationAWS GlueTerraform+10

Srijan technologies

Senior Python Developer L2

Nov 2017 – Sep 2019 · 1 yr 10 mos · India

1. Completed data migration from Datalake (MongoDB) to Data Warehouse (MySQL) thereby
improving report generation process by 2x.
2. Optimized database performance by 50% applying Indexing on frequently accessed tables.
3. Collaborated cross functionally with over 4 teams to create data driven platform.

REST APIsFlaskAWSPythonPandasMySQL+5

Connaizen

Python Developer

Oct 2016 – Oct 2017 · 1 yr · Connaught Place, New Delhi · Hybrid

1. Proficient in database designing and application structuring to support timely analytics and reporting requirements.
2. Generated organizational revenue by 30% through the management of diverse data models and the delivery of comprehensive data analysis reports.
3. Pioneered in Data Crunching, Data Ingestion, Data Transformation Activities, achieving 2x
improvement in data processing efficiency.
4. Led the performance initiatives that optimized the queries to yield a 70% improvement in data processing speed.

AWSPandasDjangoBoto3PySparkApache Spark+4