Shweta Daryani

Software Engineer

Pune, Maharashtra, India5 yrs 9 mos experience

Highly Stable

Key Highlights

Expert in AWS Cloud technologies for data solutions.
Proven track record in optimizing data processes.
Strong mentor fostering team growth and efficiency.

Stackforce AI infers this person is a Data Engineering expert specializing in AWS Cloud solutions for SaaS applications.

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Skills

Core Skills

Data EngineeringCloud Technologies

Other Skills

Amazon Web Services (AWS)Big DataAWS CloudData WarehousingData AnalyticsAWS GlueETLData AccuracyAmazon RedshiftAmazon QuickSightKinesis FirehoseS3Data LakesData ProcessingBusiness Intelligence

About

I currently work as a Solutions Engineer at Confluent, designing architectures and solutions for the clients. Prior to this as a Senior Data Engineer at Quantiphi, I was privileged to work on transformative data initiatives that leveraged AWS Cloud technologies to optimize data accessibility, efficiency, and accuracy. Certified in AWS Data Analytics and AWS Solutions Architect Associate, I bring a wealth of experience in designing, engineering, and optimizing data solutions that align with business objectives and drive data-driven decision-making. I graduated with a Bachelor of Engineering in Information Technology from Maharashtra Institute of Technology in 2020, where I received multiple scholarships for academic excellence and innovation. Since then, I have honed my skills in Data Warehousing, Big Data, ETL, and BI, consistently delivering innovative solutions that elevate organizational performance and insights. I thrive on collaborating with cross-functional teams, mentoring junior team members, and solving complex data challenges with cutting-edge technologies. I am eager to connect with professionals who share a passion for unlocking the full potential of data in the ever-evolving landscape.

Experience

5 yrs 9 mos

Total Experience

3 yrs 8 mos

Average Tenure

2 yrs 1 mo

Current Experience

Confluent

Solutions Engineer

Apr 2024 – Present · 2 yrs 1 mo

Quantiphi

2 roles

Senior Data Engineer

Promoted

Jul 2022 – Apr 2024 · 1 yr 9 mos

Spearheaded transformative data warehousing and data analytics initiatives, overseeing end-to-end migration processes to AWS Cloud, resulting in a reduction in storage costs and enhanced data accessibility.
Engineered and optimized ETL processes using AWS Glue, driving a improvement in operational efficiency and ensuring high data accuracy.
Collaborated closely with cross-functional teams to understand business requirements and deliver tailored data solutions, contributing to an increase in data-driven decision-making.
Mentored junior team members, fostering a culture of continuous learning and growth, resulting in an improvement in project delivery time.
Successfully reduced data processing time by over 50%, optimizing operational efficiency and enhancing near real-time data analytics capabilities.
Stayed abreast of the latest trends in data engineering and cloud technologies, integrating innovative tools and methodologies, leading to multiple enhancements in data processing efficiency.
Acted as a liaison between technical and non-technical stakeholders, ensuring alignment of project objectives with business goals, and achieving an increase in stakeholder satisfaction.

Amazon Web Services (AWS)Big DataData EngineeringCloud Technologies

Data Engineer

Aug 2020 – Jul 2022 · 1 yr 11 mos

Implemented robust data ingestion pipelines using Kinesis Firehose, enabling seamless data transfer and transformation into S3 data lakes.
Leveraged AWS Glue for complex data transformations and integration with visualization tools like Power BI, enhancing analytical capabilities and improving issue identification by 20%.
Led the migration of on-prem data to AWS Cloud, optimizing data processing and management for streamlined reporting and BI.
Orchestrated end-to-end dataflows with Step Functions, implementing robust monitoring and automation processes, resulting in optimized query performance and enhanced data accessibility.
Introduced advanced data quality checks, reducing errors by 30% and ensuring reliability in financial insights and reporting.
Conducted a couple of Proof of Concepts (POCs) in Data Visualization, creating numerous reports and dashboards to provide actionable insights to stakeholders.

Amazon RedshiftAmazon QuickSightData EngineeringCloud Technologies