Anmol Gupta

Data Engineer

Pune, Maharashtra, India5 yrs 4 mos experience

Highly StableAI Enabled

Key Highlights

Expert in architecting scalable data solutions.
Proven track record in optimizing ETL workflows.
Strong client collaboration for data-driven decisions.

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

Contact

Skills

Core Skills

Data EngineeringBig Data

Other Skills

AWS GlueAWS LambdaAWS RedshiftAmazon RedshiftAmazon S3Apache FlumeApache KafkaApache SparkApache SqoopArtificial Intelligence (AI)Artificial Intelligence for DesignAzure Data FactoryAzure Data LakeAzure DatabricksAzure synapse analytics

About

As a skilled Data Engineer, I specialize in building and optimizing large-scale data solutions using Python, SQL, PySpark, and cloud data technologies. With extensive experience in architecting and automating data pipelines, I am adept at leveraging cloud platforms to deliver scalable, high-performance solutions. My expertise spans data engineering, including ETL workflows, complex SQL queries, and distributed data processing using PySpark. I am passionate about driving data-driven business decisions and ensuring that technical solutions align with business goals for impactful results.

Experience

5 yrs 4 mos

Total Experience

2 yrs 1 mo

Average Tenure

1 yr 1 mo

Current Experience

Deloitte

Data Engineer Consultant

Apr 2025 – Present · 1 yr 1 mo · Pune, Maharashtra, India · Hybrid

Accenture

Software Engineer

Jul 2024 – Sep 2024 · 2 mos · Wolfsburg, Lower Saxony, Germany · On-site

Data Engineer | Onsite Client Collaboration | PySpark | SQL | Data Architecture
Key Contributions:
1) Client-Focused Data Solutions: Worked onsite with clients to design and implement data pipelines using PySpark and SQL, ensuring seamless integration into existing infrastructure.
2) Architecting Scalable Systems: Led discussions on system architecture, designing solutions that scale efficiently with growing data volumes, balancing performance and cost.
3) Optimizing ETL Workflows: Analyzed and optimized ETL processes, reducing data processing times and improving overall pipeline efficiency.
4) Proactive Problem Solving: Proactively identified issues in data flows and suggested improvements that aligned with business requirements.
5) Effective Communication: Regularly interfaced with both technical and non-technical stakeholders, simplifying complex data engineering concepts to ensure alignment between technical solutions and business goals.
6) Collaboration & Trust Building: Built strong relationships with clients through clear communication, timely deliverables, and reliable problem resolution.
Business-Driven Technical Solutions: Focused on aligning technical solutions with business needs, helping clients maximize the value of their data.

Data EngineeringBig DataPySparkSQL

Accenture in india

2 roles

Software Engineer

Promoted

Jun 2022 – Sep 2024 · 2 yrs 3 mos

Key Responsibilities:
1) Ingested, transformed, and optimized data pipelines using PySpark and SQL, improving data processing times by 30%, ensuring faster data availability and higher system performance.
2) Collaborated closely with the data analytics team to gather insights through complex SQL queries, directly contributing to business intelligence and decision-making processes.
3) Optimized large-scale data workflows, reducing processing latency by 25% while ensuring scalability and reliability for high-volume datasets.
4) Integrated and managed cloud data services on AWS and Azure, automating pipelines and optimizing resource utilization for cost-effective and scalable solutions.
5) Worked cross-functionally to align technical implementations with business goals, ensuring data architecture supported evolving business needs.

Microsoft AzureData EngineeringBig DataPySparkSQL